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BMC Medical Informatics and Decision Making

Issue 1/2024

Content (405 Articles)

A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors

Zhibin Huang, Keen Yang, Hongtian Tian, Huaiyu Wu, Shuzhen Tang, Chen Cui, Siyuan Shi, Yitao Jiang, Jing Chen, Jinfeng Xu, Fajin Dong

Multiple machine-learning tools identifying prognostic biomarkers for acute Myeloid Leukemia

Yujing Cheng, Xin Yang, Ying Wang, Qi Li, Wanlu Chen, Run Dai, Chan Zhang

Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach

Xiaoli Wu, Hao Wu, Shouliang Miao, Guoquan Cao, Huang Su, Jie Pan, Yilun Xu

Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression

Meredith Gunlicks-Stoessel, Yangchenchen Liu, Catherine Parkhill, Nicole Morrell, Mimi Choy-Brown, Christopher Mehus, Joel Hetler, Gerald August

Multi-criteria decision making to validate performance of RBC-based formulae to screen -thalassemia trait in heterogeneous haemoglobinopathies

Atul Kumar Jain, Prashant Sharma, Sarkaft Saleh, Tuphan Kanti Dolai, Subhas Chandra Saha, Rashmi Bagga, Alka Rani Khadwal, Amita Trehan, Izabela Nielsen, Anilava Kaviraj, Reena Das, Subrata Saha

Effectiveness of mobile application interventions for stroke survivors: systematic review and meta-analysis

Wenjing Cao, Azidah Abdul Kadir, Wenzhen Tang, Juan Wang, Jiamu Yuan, Intan Idiana Hassan

Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges

M. C. Schut, D. A. Dongelmans, D. W. de Lange, S. Brinkman, D. P. Verbiest, L. F. te Velde, E. M. van Driel, T. Rijpstra, P. H. J. Elbers, A. P. I. Houwink, L. Georgieva, E. Verweij, R. M. de Jong, F. M. van Iersel, T. J. J. Koning, E. Rengers, N. Kusadasi, M. L. Erkamp, R. van den Berg, C. J. M. G. Jacobs, J. L. Epker, A. A. Rijkeboer, M. T. de Bruin, P. Spronk, A. Draisma, D. J. Versluis, A. E. van den Berg, M. Vrolijk-de Mos, J. A. Lens, R. V. Pruijsten, H. Kieft, J. Rozendaal, F. Nooteboom, D. P. Boer, I. T. A. Janssen, L. van Gulik, M. P. Koetsier, V. M. Silderhuis, R. M. Schnabel, I. Drogt, W. de Ruijter, R. J. Bosman, T. Frenzel, L. C. Urlings-Strop, A. Dijkhuizen, I. Z. Hené, A. R. de Meijer, J. W. M. Holtkamp, N. Postma, A. J. G. H. Bindels, R. M. J. Wesselink, E. R. van Slobbe-Bijlsma, P. H. J. van der Voort, B. J. W. Eikemans, D. Mehagnoul-Schipper, D. Gommers, J. G. Lutisan, M. Hoeksema, M. G. W. Barnas, B. Festen-Spanjer, M. van Lieshout, N. C. Gritters, M. van Tellingen, G. B. Brunnekreef, J. Vandeputte, T. P. J. Dormans, M. E. Hoogendoorn, M. de Graaff, D. Moolenaar, A. C. Reidinga, J. J. Spijkstra, R. de Waal, D. Ramnarain, D. W. de Lange, D. A. Dongelmans, N. F. de Keizer, A. Abu-Hanna

Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis

Jie Yang, Jingfang Wan, Lei Feng, Shihui Hou, Kaizhen Yv, Liang Xu, Kehong Chen

“VR is the future”: perspectives of healthcare professionals on virtual reality as a diagnostic tool for dementia status in primary care

Joshua Yondjo, Joyce Siette

  • Open Access
  • Research

A patient safety knowledge graph supporting vaccine product development

Andrew M. Simms, Anshul Kanakia, Muhammad Sipra, Bhaskar Dutta, Noel Southall

Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning

Yuan Tian, Rui Li, Guanlong Wang, Kai Xu, Hongxia Li, Lei He

Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy

Pedro Cardoso, John M. Dennis, Jack Bowden, Beverley M. Shields, Trevelyan J. McKinley

Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis

Anying Bai, Mingyu Si, Peng Xue, Yimin Qu, Yu Jiang

A command centre implementation before and during the COVID-19 pandemic in a community hospital

Liza Grosman-Rimon, Pete Wegier, Ruben Rodriguez, Jane Casey, Susan Tory, Jhanvi Solanki, Barbara E. Collins

  • Open Access
  • Research

Hybrid architecture based intelligent diagnosis assistant for GP

Ruibin Wang, Kavisha Jayathunge, Rupert Page, Hailing Li, Jian Jun Zhang, Xiaosong Yang

Automated machine learning for early prediction of acute kidney injury in acute pancreatitis

Rufa Zhang, Minyue Yin, Anqi Jiang, Shihou Zhang, Xiaodan Xu, Luojie Liu

Heart failure classification using deep learning to extract spatiotemporal features from ECG

Chang-Jiang Zhang, Yuan-Lu, Fu-Qin Tang, Hai-Peng Cai, Yin-Fen Qian, Chao-Wang

Development and application of Chinese medical ontology for diabetes mellitus

Jie Hu, Zixian Huang, Xuewen Ge, Yulin Shen, Yihan Xu, Zirui Zhang, Guangyin Zhou, Junjie Wang, Shan Lu, Yun Yu, Cheng Wan, Xin Zhang, Ruochen Huang, Yun Liu, Gong Cheng

Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis

Zhidong Zhao, Jiawei Zhu, Pengfei Jiao, Jinpeng Wang, Xiaohong Zhang, Xinmiao Lu, Yefei Zhang

  • Open Access
  • Research

Temporal topic model for clinical pathway mining from electronic medical records

Wei Li, Xin Min, Panpan Ye, Weidong Xie, Dazhe Zhao

Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey

Anna-Jasmin Wetzel, Malte Klemmt, Regina Müller, Monika A. Rieger, Stefanie Joos, Roland Koch

Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study

Kim Greaves, Amanda King, Zoltan Bourne, Jennifer Welsh, Mark Morgan, M. Ximena Tolosa, Carissa Bonner, Tony Stanton, Michael Fryer, Rosemary Korda

Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture

Fatma M. Talaat, Shaker El-Sappagh, Khaled Alnowaiser, Esraa Hassan

Building gender-specific sexually transmitted infection risk prediction models using CatBoost algorithm and NHANES data

Mengjie Hu, Han Peng, Xuan Zhang, Lefeng Wang, Jingjing Ren

Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography

Joon Yul Choi, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, Tae Keun Yoo

  • Open Access
  • Research

Application of machine learning models on predicting the length of hospital stay in fragility fracture patients

Chun-Hei Lai, Prudence Kwan-Lam Mok, Wai-Wang Chau, Sheung-Wai Law

  • Open Access
  • Research

Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis

Imanol Isasa, Mikel Hernandez, Gorka Epelde, Francisco Londoño, Andoni Beristain, Xabat Larrea, Ane Alberdi, Panagiotis Bamidis, Evdokimos Konstantinidis

Development of a mobile application to represent food intake in inpatients: dietary data systematization

Alan Renier Jamal Occhioni Molter, Naise Oliveira da Rocha Carvalho, Paloma Ribeiro Torres, Marlete Pereira da Silva, Patrícia Dias de Brito, Pedro Emmanuel Alvarenga Americano do Brasil, Claudio Fico Fonseca, Adriana Costa Bacelo

O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies

Akhila Abdulnazar, Amila Kugic, Stefan Schulz, Vanessa Stadlbauer, Markus Kreuzthaler

  • Open Access
  • Research

An evaluation of GPT models for phenotype concept recognition

Tudor Groza, Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall, Justin T. Reese

The development of evaluation scale of the patient satisfaction with telemedicine: a systematic review

Yifei Du, Yu Gu

  • Open Access
  • Research

Patient values in patient-provider communication about participation in early phase clinical cancer trials: a qualitative analysis before and after implementation of an online value clarification tool intervention

Liza G. G. van Lent, Mirte van der Ham, Maja J. A. de Jonge, Eelke H. Gort, Marjolein van Mil, Jeroen Hasselaar, Carin C. D. van der Rijt, Jelle van Gurp, Julia C. M. van Weert

  • Open Access
  • Research

The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis

Md Ashiqul Haque, Muditha Lakmali Bodawatte Gedara, Nathan Nickel, Maxime Turgeon, Lisa M. Lix

  • Open Access
  • Research

Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic

Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth, Martin Graessner

Acute kidney injury comorbidity analysis based on international classification of diseases-10 codes

Menglu Wang, Guangjian Liu, Zhennan Ni, Qianjun Yang, Xiaojun Li, Zhisheng Bi

Machine learning based biomarker discovery for chronic kidney disease–mineral and bone disorder (CKD-MBD)

Yuting Li, Yukuan Lou, Man Liu, Siyi Chen, Peng Tan, Xiang Li, Huaixin Sun, Weixin Kong, Suhua Zhang, Xiang Shao

A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric

Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Anthony S. Maida, Xiali Hei

Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms

Mitra Rahimi, Mohammad Reza Afrash, Shahin Shadnia, Babak Mostafazadeh, Peyman Erfan Talab Evini, Mohadeseh Sarbaz Bardsiri, Maral Ramezani

Establishment of a risk prediction model for bowel necrosis in patients with incarcerated inguinal hernia

Jiajie Zhou, Xiaoming Yuan

  • Open Access
  • Research

Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment

Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk, Mohammad R. K. Mofrad

Choice of refractive surgery types for myopia assisted by machine learning based on doctors’ surgical selection data

Jiajing Li, Yuanyuan Dai, Zhicheng Mu, Zhonghai Wang, Juan Meng, Tao Meng, Jimin Wang

  • Open Access
  • Research

Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques

Simran Saggu, Hirad Daneshvar, Reza Samavi, Paulo Pires, Roberto B. Sassi, Thomas E. Doyle, Judy Zhao, Ahmad Mauluddin, Laura Duncan

  • Open Access
  • Research

Prediction of Sjögren’s disease diagnosis using matched electronic dental-health record data

Jason Mao, Grace Gomez Felix Gomez, Mei Wang, Huiping Xu, Thankam P. Thyvalikakath

Usability and feasibility analysis of an mHealth-tool for supporting physical activity in people with heart failure

Andreas Blomqvist, Maria Bäck, Leonie Klompstra, Anna Strömberg, Tiny Jaarsma

  • Open Access
  • Research

DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients

Sarayut Julkaew, Thakerng Wongsirichot, Kasikrit Damkliang, Pornpen Sangthawan

Varying (preferred) levels of involvement in treatment decision-making in the intensive care unit before and during the COVID-19 pandemic: a mixed-methods study among relatives

Sophie C. Renckens, H. Roeline Pasman, Zina Jorna, Hanna T. Klop, Chantal du Perron, Lia van Zuylen, Monique A.H. Steegers, Birkitt L. ten Tusscher, Margo M.C. van Mol, Lilian C.M. Vloet, Bregje D. Onwuteaka-Philipsen

  • Open Access
  • Database

Data resource profile of an online database system for forensic mental health services

Junko Koike, Toshiaki Kono, Koji Takeda, Yuji Yamada, Chiyo Fujii, Naotsugu Hirabayashi

Development of a predictive machine learning model for pathogen profiles in patients with secondary immunodeficiency

Qianning Liu, Yifan Chen, Peng Xie, Ying Luo, Buxuan Wang, Yuanxi Meng, Jiaqian Zhong, Jiaqi Mei, Wei Zou

Dimension reduction and outlier detection of 3-D shapes derived from multi-organ CT images

Michael Selle, Magdalena Kircher, Cornelia Schwennen, Christian Visscher, Klaus Jung

InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography

Borum Nam, Beomjun Bark, Jeyeon Lee, In Young Kim

Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare

Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Fries, Jose Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung

Which risk factor best predicts coronary artery disease using artificial neural network method?

Nahid Azdaki, Fatemeh Salmani, Toba Kazemi, Neda Partovi, Saeede Khosravi Bizhaem, Masomeh Noori Moghadam, Yoones Moniri, Ehsan Zarepur, Noushin Mohammadifard, Hassan Alikhasi, Fatemeh Nouri, Nizal Sarrafzadegan, Seyyed Ali Moezi, Mohammad Reza Khazdair

Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data

Yufeng Zhang, Jessica R. Golbus, Emily Wittrup, Keith D. Aaronson, Kayvan Najarian

  • Open Access
  • Research

Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models

Mohamed El Azzouzi, Gouenou Coatrieux, Reda Bellafqira, Denis Delamarre, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia, Guillaume Bouzillé

Exploring the potential of ChatGPT as an adjunct for generating diagnosis based on chief complaint and cone beam CT radiologic findings

Yanni Hu, Ziyang Hu, Wenjing Liu, Antian Gao, Shanhui Wen, Shu Liu, Zitong Lin

  • Open Access
  • Correction

Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic

Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth, Martin Graessner

  • Open Access
  • Research

A novel estimator for the two-way partial AUC

Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts, Larsson Omberg

  • Open Access
  • Research

Conceptual design of a generic data harmonization process for OMOP common data model

Elisa Henke, Michele Zoch, Yuan Peng, Ines Reinecke, Martin Sedlmayr, Franziska Bathelt

Effect of early serum phosphate disorder on in-hospital and 28-day mortality in sepsis patients: a retrospective study based on MIMIC-IV database

Yinghao Luo, Yahui Peng, Yujia Tang, Pengfei Huang, Qianqian Zhang, Chunying Wang, Weiting Zhang, Jing Zhou, Longyu Liang, YuXin Zhang, Kaijiang Yu, Changsong Wang

A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure

Sergio Alejandro Holguin-Garcia, Ernesto Guevara-Navarro, Alvaro Eduardo Daza-Chica, Maria Alejandra Patiño-Claro, Harold Brayan Arteaga-Arteaga, Gonzalo A. Ruz, Reinel Tabares-Soto, Mario Alejandro Bravo-Ortiz

  • Open Access
  • Research

Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases

Victorine P. Muse, Davide Placido, Amalie D. Haue, Søren Brunak

A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all

Hayley Dunnack Yackel, Barbara Halpenny, Janet L. Abrahm, Jennifer Ligibel, Andrea Enzinger, David F. Lobach, Mary E. Cooley

  • Open Access
  • Research

Identification of health-related problems in youth: a mixed methods feasibility study evaluating the Youth Health Report System

Petra V. Lostelius, Catharina Gustavsson, Eva Thors Adolfsson, Anne Söderlund, Åsa Revenäs, Ann-Britt Zakrisson, Magdalena Mattebo

  • Open Access
  • Software

MMIR: an open-source software for the registration of multimodal histological images

Rodrigo Escobar Díaz Guerrero, José Luis Oliveira, Juergen Popp, Thomas Bocklitz

Feasibility of a wearable self-management application for patients with COPD at home: a pilot study

Robert Wu, Eyal de Lara, Daniyal Liaqat, Salaar Liaqat, Jun Lin Chen, Tanya Son, Andrea S. Gershon

  • Open Access
  • Research

Continual learning framework for a multicenter study with an application to electrocardiogram

Junmo Kim, Min Hyuk Lim, Kwangsoo Kim, Hyung-Jin Yoon

A framework for inferring and analyzing pharmacotherapy treatment patterns

Everett Rush, Ozgur Ozmen, Minsu Kim, Erin Rush Ortegon, Makoto Jones, Byung H. Park, Steven Pizer, Jodie Trafton, Lisa A. Brenner, Merry Ward, Jonathan R. Nebeker

Developing an integrated clinical decision support system for the early identification and management of kidney disease—building cross-sectoral partnerships

Gillian Gorham, Asanga Abeyaratne, Sam Heard, Liz Moore, Pratish George, Paul Kamler, Sandawana William Majoni, Winnie Chen, Bhavya Balasubramanya, Mohammad Radwanur Talukder, Sophie Pascoe, Adam Whitehead, Cherian Sajiv, Louise Maple-Brown, Nadarajah Kangaharan, Alan Cass

  • Open Access
  • Research

Development and validation of ‘Patient Optimizer’ (POP) algorithms for predicting surgical risk with machine learning

Gideon Kowadlo, Yoel Mittelberg, Milad Ghomlaghi, Daniel K. Stiglitz, Kartik Kishore, Ranjan Guha, Justin Nazareth, Laurence Weinberg

Implementation difficulties and solutions for a smart-clothes assisted home nursing care program for older adults with dementia or recovering from hip fracture

Chung-Chih Lin, Ching-Tzu Yang, Pei-Ling Su, Jung-Ling Hsu, Yea-Ing L. Shyu, Wen-Chuin Hsu

  • Open Access
  • Research

Assessing the research landscape and clinical utility of large language models: a scoping review

Ye-Jean Park, Abhinav Pillai, Jiawen Deng, Eddie Guo, Mehul Gupta, Mike Paget, Christopher Naugler

KGSCS—a smart care system for elderly with geriatric chronic diseases: a knowledge graph approach

Aihua Li, Che Han, Xinzhu Xing, Qinyan Wei, Yuxue Chi, Fan Pu

  • Open Access
  • Research

Deep learning of movement behavior profiles and their association with markers of cardiometabolic health

Vahid Farrahi, Paul J Collings, Mourad Oussalah

  • Open Access
  • Research

Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences

Yong Liu, Shenggen Ju, Junfeng Wang

  • Open Access
  • Software

SurvInt: a simple tool to obtain precise parametric survival extrapolations

Daniel Gallacher

An automated ICU agitation monitoring system for video streaming using deep learning classification

Pei-Yu Dai, Yu-Cheng Wu, Ruey-Kai Sheu, Chieh-Liang Wu, Shu-Fang Liu, Pei-Yi Lin, Wei-Lin Cheng, Guan-Yin Lin, Huang-Chien Chung, Lun-Chi Chen

Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach

Inge S. van Strien-Knippenberg, Hannah Arjangi-Babetti, Danielle R. M. Timmermans, Laura Schrauwen, Mirjam P. Fransen, Marijke Melles, Olga C. Damman

Development of a new computer simulated environment to screen cognition: assessing the feasibility and acceptability of Leaf Café in younger and older adults

Joyce Siette, Jonathan Guion, Kiran Ijaz, Paul Strutt, Meredith Porte, Greg Savage, Deborah Richards

Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis

Fabiano Papaiz, Mario Emílio Teixeira Dourado Jr., Ricardo Alexsandro de Medeiros Valentim, Rafael Pinto, Antônio Higor Freire de Morais, Joel Perdiz Arrais

  • Open Access
  • Research

Development of a communication platform for patients with head and neck cancer for effective information delivery and improvement of doctor–patient relationship: application of treatment journey-based service blueprint

Yoo-Ri Koo, Eun-Jeong Kim, Inn-Chul Nam

Multimodal deep learning-based diagnostic model for BPPV

Hang Lu, Yuxing Mao, Jinsen Li, Lin Zhu

  • Open Access
  • Research

An Effective Methodology for Scoring to Assist Emergency Physicians in Identifying Overcrowding in an Academic Emergency Department in Thailand

Sukumpat Na Nan, Borwon Wittayachamnankul, Wachira Wongtanasarasin, Theerapon Tangsuwanaruk, Krongkarn Sutham, Orawit Thinnukool

Development and validation of a nomogram for predicting in-hospital mortality in ICU patients with infective endocarditis

Dongyang Che, Jinlin Hu, Jialiang Zhu, Jun Lyu, Xiaoshen Zhang

Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma

Seol Whan Oh, Seok-Soo Byun, Jung Kwon Kim, Chang Wook Jeong, Cheol Kwak, Eu Chang Hwang, Seok Ho Kang, Jinsoo Chung, Yong-June Kim, Yun-Sok Ha, Sung-Hoo Hong

  • Open Access
  • Research

Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset

Oduse Samuel, Temesgen Zewotir, Delia North

Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey

Áron Hölgyesi, Zsombor Zrubka, László Gulácsi, Petra Baji, Tamás Haidegger, Miklós Kozlovszky, Miklós Weszl, Levente Kovács, Márta Péntek

A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests

Mehri Momeni, Marziyeh Afkanpour, Saleh Rakhshani, Amin Mehrabian, Hamed Tabesh

  • Open Access
  • Correction

Correction: Developing an integrated clinical decision support system for the early identification and management of kidney disease—building cross-sectoral partnerships

Gillian Gorham, Asanga Abeyaratne, Sam Heard, Liz Moore, Pratish George, Paul Kamler, Sandawana William Majoni, Winnie Chen, Bhavya Balasubramanya, Mohammad Radwanur Talukder, Sophie Pascoe, Adam Whitehead, Cherian Sajiv, Louise Maple-Brown, Nadarajah Kangaharan, Alan Cass

  • Open Access
  • Research

A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data

Samuel Cusworth, Georgios V. Gkoutos, Animesh Acharjee

Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling

Melaku Tadege, Awoke Seyoum Tegegne, Zelalem G. Dessie

  • Open Access
  • Research

Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer

Chaitanya Kulkarni, Aadam Quraishi, Mohan Raparthi, Mohammad Shabaz, Muhammad Attique Khan, Raj A. Varma, Ismail Keshta, Mukesh Soni, Haewon Byeon

Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case

Patrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, Marco Gaspari, Pierangelo Veltri, Giuseppe Tradigo

Early prediction of sudden cardiac death risk with Nested LSTM based on electrocardiogram sequential features

Ke Wang, Kai Zhang, Banteng Liu, Wei Chen, Meng Han

Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysis

Catarina Martins, Bernardo Neves, Andreia Sofia Teixeira, Miguel Froes, Pedro Sarmento, Jaime Machado, Carlos A. Magalhães, Nuno A. Silva, Mário J. Silva, Francisca Leite

Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation

Pinar Tokgöz, Stephan Krayter, Jessica Hafner, Christoph Dockweiler

  • Open Access
  • Research

Optimizing cardiovascular disease mortality prediction: a super learner approach in the tehran lipid and glucose study

Parvaneh Darabi, Safoora Gharibzadeh, Davood Khalili, Mehrdad Bagherpour-Kalo, Leila Janani

Individuals’ attitudes toward digital mental health apps and implications for adoption in Portugal: web-based survey

Diogo Nogueira-Leite, Manuel Marques-Cruz, Ricardo Cruz-Correia

  • Open Access
  • Research

Decision discovery using clinical decision support system decision log data for supporting the nurse decision-making process

Matthijs Berkhout, Koen Smit, Johan Versendaal

Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application

Yilin Xia, Yifei Duan, Leihao Sha, Wanlin Lai, Zhimeng Zhang, Jiaxin Hou, Lei Chen

Autonomous fetal morphology scan: deep learning + clustering merger – the second pair of eyes behind the doctor

Smaranda Belciug

An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review

Esmaeel Toni, Haleh Ayatollahi

  • Open Access
  • Research

An ensemble model for predicting dispositions of emergency department patients

Kuang-Ming Kuo, Yih-Lon Lin, Chao Sheng Chang, Tin Ju Kuo

Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning

Jiaye Sun, Shijun Shao, Hua Wan, Xueqing Wu, Jiamei Feng, Qingqian Gao, Wenchao Qu, Lu Xie

  • Open Access
  • Research

A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals

Vittorio Torri, Michele Ercolanoni, Francesco Bortolan, Olivia Leoni, Francesca Ieva

Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study

Xinyu Li, Nan Zhang, Juan Yang, Zhaohui Geng, Jie Zhou, Jinyu Zhang

  • Open Access
  • Software

INNBC DApp, a decentralized application to permanently store biomedical data on a modern, proof-of-stake (POS), blockchain such as BNB Smart Chain

Jonathan Fior

Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning

Zengjing Liu, Zhihao Meng, Di Wei, Yuan Qin, Yu Lv, Luman Xie, Hong Qiu, Bo Xie, Lanxiang Li, Xihua Wei, Die Zhang, Boying Liang, Wen Li, Shanfang Qin, Tengyue Yan, Qiuxia Meng, Huilin Wei, Guiyang Jiang, Lingsong Su, Nili Jiang, Kai Zhang, Jiannan Lv, Yanling Hu

  • Open Access
  • Comment

From algorithms to action: improving patient care requires causality

Wouter A. C. van Amsterdam, Pim A. de Jong, Joost J. C. Verhoeff, Tim Leiner, Rajesh Ranganath

  • Open Access
  • Research

Healthcare insurance fraud detection using data mining

Zain Hamid, Fatima Khalique, Saba Mahmood, Ali Daud, Amal Bukhari, Bader Alshemaimri

Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering

A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T. R. Mahesh, V. Vinoth Kumar, S. Yogesh Kumaran, Suresh Guluwadi

A hybrid framework for glaucoma detection through federated machine learning and deep learning models

Abeer Aljohani, Rua Y. Aburasain

  • Open Access
  • Research

Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data

Gabin Drouard, Juha Mykkänen, Jarkko Heiskanen, Joona Pohjonen, Saku Ruohonen, Katja Pahkala, Terho Lehtimäki, Xiaoling Wang, Miina Ollikainen, Samuli Ripatti, Matti Pirinen, Olli Raitakari, Jaakko Kaprio

  • Open Access
  • Research

Continuous patient state attention model for addressing irregularity in electronic health records

Vinod Kumar Chauhan, Anshul Thakur, Odhran O’Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton

Enhancing pneumonia prognosis in the emergency department: a novel machine learning approach using complete blood count and differential leukocyte count combined with CURB-65 score

Yin-Ting Lin, Ko-Ming Lin, Kai-Hsiang Wu, Frank Lien

Machine learning-empowered sleep staging classification using multi-modality signals

Santosh Kumar Satapathy, Biswajit Brahma, Baidyanath Panda, Paolo Barsocchi, Akash Kumar Bhoi

  • Open Access
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Improved nonparametric survival prediction using CoxPH, Random Survival Forest & DeepHit Neural Network

Naseem Asghar, Umair Khalil, Basheer Ahmad, Huda M. Alshanbari, Muhammad Hamraz, Bakhtiyar Ahmad, Dost Muhammad Khan

Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train

Ananya Choudhury, Esther Janssen, Bart C. Bongers, Nico L. U. van Meeteren, Andre Dekker, Johan van Soest

  • Open Access
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Protein sequence analysis in the context of drug repurposing

Natalia García Sánchez, Esther Ugarte Carro, Lucía Prieto-Santamaría, Alejandro Rodríguez-González

Prediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning

Qiqiang Liang, Shuo Ding, Juan Chen, Xinyi Chen, Yongshan Xu, Zhijiang Xu, Man Huang

  • Open Access
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Optimizing deep learning-based segmentation of densely packed cells using cell surface markers

Sunwoo Han, Khamsone Phasouk, Jia Zhu, Youyi Fong

Evaluation of activities of daily living using an electronic version of the Longshi Scale in patients with stroke: reliability, consistency, and preference

Kaiwen Xue, Weihao Li, Fang Liu, Xiangxiang Liu, John Wong, Mingchao Zhou, Chunli Cai, Jianjun Long, Jiehui Li, Zeyu Zhang, Weilin Hou, Guohui Nie, Yulong Wang

  • Open Access
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BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning

Haoyue Sheng, Linrui Ma, Jean-François Samson, Dianbo Liu

al-BERT: a semi-supervised denoising technique for disease prediction

Yun-Chien Tseng, Chuan-Wei Kuo, Wen-Chih Peng, Chih-Chieh Hung

Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV2

Bocheng Liang, Fengfeng Peng, Dandan Luo, Qing Zeng, Huaxuan Wen, Bowen Zheng, Zhiying Zou, Liting An, Huiying Wen, Xin Wen, Yimei Liao, Ying Yuan, Shengli Li

  • Open Access
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Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study

Xinyu Li, Nan Zhang, Juan Yang, Zhaohui Geng, Jie Zhou, Jinyu Zhang

Evaluation of usability and user feedback to guide telepharmacy application development in Indonesia: a mixed-methods study

Sofa D. Alfian, Jihan A. Sania, Dzulfah Q. Aini, Qisty A. Khoiry, Meliana Griselda, Yudisia Ausi, Neily Zakiyah, Irma M. Puspitasari, Auliya A. Suwantika, Mariska Mahfud, Saktian Aji, Rizky Abdulah, Angelos P. Kassianos

Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches

Mehrdad Motamed Shariati, Saeid Eslami, Nasser Shoeibi, Alireza Eslampoor, Mohammadreza Sedaghat, Hamid Gharaei, Siamak Zarei-Ghanavati, Akbar Derakhshan, Majid Abrishami, Mojtaba Abrishami, Seyedeh Maryam Hosseini, Saeed Shokuhi Rad, Mohammadreza Ansari Astaneh, Raheleh Mahboub Farimani

Trusted sources of information on COVID-19 vaccine in Uganda

Johnson Nyeko Oloya, Nelson Onira Alema, Christopher Okot, Emmanuel Olal, Eric Nzirakaindi Ikoona, Freddy Wathum Drinkwater Oyat, Baguma Steven, Denish Omoya Ochula, Patrick Odong Olwedo, Francis Pebalo Pebolo, Pamela Okot Atim, Godfrey Smart Okot, Ritah Nantale, Judith Aloyo, David Lagoro Kitara

  • Open Access
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The need for cybersecurity self-evaluation in healthcare

Wendy Burke, Andrew Stranieri, Taiwo Oseni, Iqbal Gondal

  • Open Access
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Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies

Carole Faviez, Xiaoyi Chen, Nicolas Garcelon, Mohamad Zaidan, Katy Billot, Friederike Petzold, Hassan Faour, Maxime Douillet, Jean-Michel Rozet, Valérie Cormier-Daire, Tania Attié-Bitach, Stanislas Lyonnet, Sophie Saunier, Anita Burgun

The efficacy of virtual reality for upper limb rehabilitation in stroke patients: a systematic review and meta-analysis

Mohsen Soleimani, Marjan Ghazisaeedi, Soroush Heydari

  • Open Access
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Recommended data elements for health registries: a survey from a German funding initiative

Sonja Harkener, Ekkehart Jenetzky, Rüdiger Rupp, Jennifer Dell, Christoph Engel, Maximilian Ferry von Bargen, Robert Finger, Maximilian Glienke, Carsten Heinz, Patrick Jersch, David Martin, Rita Schmutzler, Martin Schönthaler, Barbara Suwelack, Jeannine Wegner, Jürgen Stausberg

  • Open Access
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Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning

Hang Wu, Wenqi Shi, May D. Wang

Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies

Houriyeh Ehtemam, Shabnam Sadeghi Esfahlani, Alireza Sanaei, Mohammad Mehdi Ghaemi, Sadrieh Hajesmaeel-Gohari, Rohaneh Rahimisadegh, Kambiz Bahaadinbeigy, Fahimeh Ghasemian, Hassan Shirvani

Usage and limitations of medical consultation with patients’ families using online video calls: a prospective cohort study

Tetsuro Hayashi, Seiji Bito

Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study

Catherine Nasrallah, Cherish Wilson, Alicia Hamblin, Cammie Young, Lindsay Jacobsohn, Mary C. Nakamura, Andrew Gross, Mehrdad Matloubian, Judith Ashouri, Jinoos Yazdany, Gabriela Schmajuk

  • Open Access
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Federated-learning-based prognosis assessment model for acute pulmonary thromboembolism

Jun Zhou, Xin Wang, Yiyao Li, Yuqing Yang, Juhong Shi

Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques

M. Mohamed Musthafa, I. Manimozhi, T. R. Mahesh, Suresh Guluwadi

Prediction for post-ERCP pancreatitis in non-elderly patients with common bile duct stones: a cross-sectional study at a major Chinese tertiary hospital (2015–2023)

Chaoqun Yan, Jinxin Zheng, Haizheng Tang, Changjian Fang, Jiang Zhu, Hu Feng, Hao Huang, Yilin Su, Gang Wang, Cheng Wang

An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health

Belqes Alsadi, Saleh Musleh, Hamada R. H. Al-Absi, Mahmoud Refaee, Rizwan Qureshi, Nady El Hajj, Tanvir Alam

Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images

Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Jiwon Kwak, Dabin Lee, Tae Hoon Lee, Yongwon Cho, Tae Hoon Kim

Video support for prehospital stroke consultation: implications for system design and clinical implementation from prehospital simulations

Stefan Candefjord, Magnus Andersson Hagiwara, Bengt Arne Sjöqvist, Jan-Erik Karlsson, Annika Nordanstig, Lars Rosengren, Hanna Maurin Söderholm

  • Open Access
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Exploring the tradeoff between data privacy and utility with a clinical data analysis use case

Eunyoung Im, Hyeoneui Kim, Hyungbok Lee, Xiaoqian Jiang, Ju Han Kim

Interpretable machine learning model for predicting acute kidney injury in critically ill patients

Xunliang Li, Peng Wang, Yuke Zhu, Wenman Zhao, Haifeng Pan, Deguang Wang

A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient’s medical history

Correction: Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images

Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Jiwon Kwak, Dabin Lee, Tae Hoon Lee, Yongwon Cho, Tae Hoon Kim

  • Open Access
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Extracting patient lifestyle characteristics from Dutch clinical text with BERT models

Hielke Muizelaar, Marcel Haas, Koert van Dortmont, Peter van der Putten, Marco Spruit

  • Open Access
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DREAMER: a computational framework to evaluate readiness of datasets for machine learning

Meysam Ahangaran, Hanzhi Zhu, Ruihui Li, Lingkai Yin, Joseph Jang, Arnav P. Chaudhry, Lindsay A. Farrer, Rhoda Au, Vijaya B. Kolachalama

  • Open Access
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Machine learning cryptography methods for IoT in healthcare

Tserendorj Chinbat, Samaneh Madanian, David Airehrour, Farkhondeh Hassandoust

Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records

Oshin Miranda, Sophie Marie Kiehl, Xiguang Qi, M. Daniel Brannock, Thomas Kosten, Neal David Ryan, Levent Kirisci, Yanshan Wang, LiRong Wang

Undercounting diagnoses in Australian general practice: a data quality study with implications for population health reporting

Rachel Canaway, Christine Chidgey, Christine Mary Hallinan, Daniel Capurro, Douglas IR Boyle

  • Open Access
  • Laser
  • Research

Development of a web-based patient decision aid for myopia laser correction method

Hanieh Delshad Aghdam, Fatemeh Zarei, Seyed Farzad Mohammadi

  • Open Access
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Comparison of the effects of burn assessment mission game with feedback lecture on nursing students’ knowledge and skills in the burn patients’ assessment: a randomized clinical trial

Amirreza Nasirzade, Kolsoum Deldar, Razieh Froutan, Mohammad Taghi Shakeri

Development of machine learning models to predict perioperative blood transfusion in hip surgery

Han Zang, Ai Hu, Xuanqi Xu, He Ren, Li Xu

  • Open Access
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Exploring potential circRNA biomarkers for cancers based on double-line heterogeneous graph representation learning

Yi Zhang, ZhenMei Wang, Hanyan Wei, Min Chen

  • Open Access
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Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches

Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

A novel higher performance nomogram based on explainable machine learning for predicting mortality risk in stroke patients within 30 days based on clinical features on the first day ICU admission

Haoran Chen, Fengchun Yang, Yifan Duan, Lin Yang, Jiao Li

Impact of mobile application and outpatient follow-up on renal endpoints and physiological indices in patients with chronic kidney disease: a retrospective cohort study in Southwest China

Yu Shi, Shi Pu, Hongmei Peng, Jing Zhang, Yang Li, Xia Huang, Caiping Song, Yu Luo

  • Open Access
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Attitudes of female market vendors of reproductive age towards use of mobile phones and access to family planning self-care interventions in Northern Uganda: a cross-sectional study

Yagos Onen Walter, Pamela Atim, Derrick Amone, Alarakol Simon Peter, Geoffrey Olok Tabo

  • Open Access
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Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare

Isidoro J. Casanova, Manuel Campos, Jose M. Juarez, Antonio Gomariz, Bernardo Canovas-Segura, Marta Lorente-Ros, Jose A. Lorente

Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning

Meng Wang, Gao Yi, Yunjia Zhang, Mei Li, Jin Zhang

  • Open Access
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Collaborative learning from distributed data with differentially private synthetic data

Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski

WeChat assisted electronic symptom measurement for patients with adenomyosis

Wei Xu, Xin Zhang, Fan Xu, Yuan Yuan, Ying Tang, Qiuling Shi

  • Open Access
  • Correction

Correction: Extracting patient lifestyle characteristics from Dutch clinical text with BERT models

Hielke Muizelaar, Marcel Haas, Koert van Dortmont, Peter van der Putten, Marco Spruit

  • Open Access
  • Software

GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics

Benedetta Gottardelli, Roberto Gatta, Leonardo Nucciarelli, Andrada Mihaela Tudor, Erica Tavazzi, Mauro Vallati, Stefania Orini, Nicoletta Di Giorgi, Andrea Damiani

Current status of digital health interventions in the health system in Burkina Faso

Bry Sylla, Boukary Ouedraogo, Salif Traore, Ousseni Ouedraogo, Léon Gueswendé Blaise Savadogo, Gayo Diallo

Hematoma expansion prediction based on SMOTE and XGBoost algorithm

Yan Li, Chaonan Du, Sikai Ge, Ruonan Zhang, Yiming Shao, Keyu Chen, Zhepeng Li, Fei Ma

  • Open Access
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A dynamic online nomogram for predicting renal outcomes of idiopathic membranous nephropathy

Feng Wang, Jiayi Xu, Fumei Wang, Xu Yang, Yang Xia, Hongli Zhou, Na Yi, Congcong Jiao, Xuesong Su, Beiru Zhang, Hua Zhou, Yanqiu Wang

  • Open Access
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Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy

Xi Bai, Zhibo Zhou, Zeyan Zheng, Yansheng Li, Kejia Liu, Yuanjun Zheng, Hongbo Yang, Huijuan Zhu, Shi Chen, Hui Pan

Using a smartphone-based self-management platform to study sex differences in Parkinson’s disease: multicenter, cross-sectional pilot study

Zhiheng Xu, Lirong Jin, Weijie Chen, Tianyu Hu, Shiyu Li, Xiaoniu Liang, Xixi Han, Yi Chen, Yilin Tang, Jian Wang, Danhong Wu

Factors associated with the local control of brain metastases: a systematic search and machine learning application

Hemalatha Kanakarajan, Wouter De Baene, Karin Gehring, Daniëlle B. P. Eekers, Patrick Hanssens, Margriet Sitskoorn

  • Open Access
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Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction

Jiayin Zhou, Jie Hao, Mingkun Tang, Haixia Sun, Jiayang Wang, Jiao Li, Qing Qian

A tree-based explainable AI model for early detection of Covid-19 using physiological data

Manar Abu Talib, Yaman Afadar, Qassim Nasir, Ali Bou Nassif, Haytham Hijazi, Ahmad Hasasneh

  • Open Access
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End-to-end pseudonymization of fine-tuned clinical BERT models

Thomas Vakili, Aron Henriksson, Hercules Dalianis

  • Open Access
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Patterns and factors associated with dental service utilization among insured people: a data mining approach

Zahra Pouraskari, Reza Yazdani, Maryam Khademi, Hossein Hessari

Establishment of prediction model for mortality risk of pancreatic cancer: a retrospective study

Raoof Nopour

  • Open Access
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Development and usability testing of an online support tool to identify models and frameworks to inform implementation

Lisa Strifler, Christine Fahim, Michael P. Hillmer, Jan M. Barnsley, Sharon E. Straus

  • Open Access
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Addressing label noise for electronic health records: insights from computer vision for tabular data

Jenny Yang, Hagen Triendl, Andrew A. S. Soltan, Mangal Prakash, David A. Clifton

  • Open Access
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Operationalizing and digitizing person-centered daily functioning: a case for functionomics

Esther R.C. Janssen, Ilona M. Punt, Johan van Soest, Yvonne F. Heerkens, Hillegonda A. Stallinga, Huib ten Napel, Lodewijk W. van Rhijn, Barend Mons, Andre Dekker, Paul C. Willems, Nico L.U. van Meeteren

  • Open Access
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Design, implementation and usability analysis of patient empowerment in ADLIFE project via patient reported outcome measures and shared decision making

Gokce B. Laleci Erturkmen, Natassia Kamilla Juul, Irati Erreguerena Redondo, Ana Ortega Gil, Dolores Verdoy Berastegui, Esteban de Manuel, Mustafa Yuksel, Bunyamin Sarigul, Gokhan Yilmaz, Sarah N. L. I. M. Choi Keung, Theodoros N. Arvanitis, Thea Damkjaer Syse, Janika Bloemeke-Cammin, Rachelle Kaye, Anne Dichmann Sorknæs

  • Open Access
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Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging

Yuwen Chen, Xiaoyan Hu, Yiziting Zhu, Xiang Liu, Bin Yi

  • Open Access
  • Systematic Review

How intervention studies measure the effectiveness of medication safety-related clinical decision support systems in primary and long-term care: a systematic review

David Lampe, John Grosser, Dennis Grothe, Birthe Aufenberg, Daniel Gensorowsky, Julian Witte, Wolfgang Greiner

Measuring electronic health literacy in the context of diabetes care: psychometric evaluation of a Persian version of the condition-specific eHealth literacy scale for diabetes

Maryam Peimani, Mozhgan Tanhapour, Fatemeh Bandarian, Ensieh Nasli-Esfahani, Afshin Ostovar

  • Open Access
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Effect of the data-informed platform for health intervention on the culture of data use for decision-making among district health office staff in North Shewa Zone, Ethiopia: a cluster-randomised controlled trial

Girum Taye Zeleke, Bilal Iqbal Avan, Mehret Amsalu Dubale, Joanna Schellenberg

Optimization of vision transformer-based detection of lung diseases from chest X-ray images

Jinsol Ko, Soyeon Park, Hyun Goo Woo

Improve the efficiency and accuracy of ophthalmologists’ clinical decision-making based on AI technology

Yingxuan Guo, Changke Huang, Yaying Sheng, Wenjie Zhang, Xin Ye, Hengli Lian, Jiahao Xu, Yiqi Chen

Impact of linkage level on inferences from big data analyses in health and medical research: an empirical study

Bora Lee, Young-Kyun Lee, Sung Han Kim, HyunJin Oh, Sungho Won, Suk-Yong Jang, Ye Jin Jeon, Bit-Na Yoo, Jean-Kyung Bak

  • Open Access
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Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN

HongYuan Lu, XinMiao Feng, Jing Zhang

ARDSFlag: an NLP/machine learning algorithm to visualize and detect high-probability ARDS admissions independent of provider recognition and billing codes

Amir Gandomi, Phil Wu, Daniel R Clement, Jinyan Xing, Rachel Aviv, Matthew Federbush, Zhiyong Yuan, Yajun Jing, Guangyao Wei, Negin Hajizadeh

Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation

Thirumalesu Kudithi, J. Balajee, R. Sivakami, T. R. Mahesh, E. Mohan, Suresh Guluwadi

Development a nomogram prognostic model for survival in heart failure patients based on the HF-ACTION data

Ting Cheng, Dongdong Yu, Jun Tan, Shaojun Liao, Li Zhou, Wenwei OuYang, Zehuai Wen

DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation

Asghar Ali Shah, Ali Daud, Amal Bukhari, Bader Alshemaimri, Muhammad Ahsan, Rehmana Younis

Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors

Chien-Hsiang Cheng, Bor-Jen Lee, Oswald Ndi Nfor, Chih-Hsuan Hsiao, Yi-Chia Huang, Yung-Po Liaw

Interpretable machine learning models for detecting peripheral neuropathy and lower extremity arterial disease in diabetics: an analysis of critical shared and unique risk factors

Ya Wu, Danmeng Dong, Lijie Zhu, Zihong Luo, Yang Liu, Xiaoyun Xie

  • Open Access
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Principles of digital professionalism for the metaverse in healthcare

Zahra Mohammadzadeh, Mehdi Shokri, Hamid Reza Saeidnia, Marcin Kozak, Agostino Marengo, Brady D Lund, Marcel Ausloos, Nasrin Ghiasi

Shared decision-making endorses intention to follow through treatment or vaccination recommendations: a multi-method survey study among older adults

Tuuli Turja, Milla Rosenlund, Virpi Jylhä, Hanna Kuusisto

  • Open Access
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A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish

Jocelyn Dunstan, Thomas Vakili, Luis Miranda, Fabián Villena, Claudio Aracena, Tamara Quiroga, Paulina Vera, Sebastián Viteri Valenzuela, Victor Rocco

Leveraging shortest dependency paths in low-resource biomedical relation extraction

Saman Enayati, Slobodan Vucetic

  • Open Access
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Incorporating informatively collected laboratory data from EHR in clinical prediction models

Minghui Sun, Matthew M. Engelhard, Armando D. Bedoya, Benjamin A. Goldstein

The sensitivity outcome index system for home care of elderly liver transplant patients was developed based on the Omaha problem classification system

Bin Wang, Xia Huang, Guofang Liu, Taohua Zheng, Hui Lin, Yue Qiao, Wenjuan Sun

Machine learning for the prediction of 1-year mortality in patients with sepsis-associated acute kidney injury

Le Li, Jingyuan Guan, Xi Peng, Likun Zhou, Zhuxin Zhang, Ligang Ding, Lihui Zheng, Lingmin Wu, Zhicheng Hu, Limin Liu, Yan Yao

Creating a health informatics data resource for hearing health research

Nishchay Mehta, Baptiste Briot Ribeyre, Lilia Dimitrov, Louise J. English, Colleen Ewart, Antje Heinrich, Nikhil Joshi, Kevin J. Munro, Gail Roadknight, Luis Romao, Anne Gm Schilder, Ruth V. Spriggs, Ruth Norris, Talisa Ross, George Tilston

  • Open Access
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From pre-test and post-test probabilities to medical decision making

Michelle Pistner Nixon, Farhani Momotaz, Claire Smith, Jeffrey S. Smith, Mark Sendak, Christopher Polage, Justin D. Silverman

Can artificial intelligence models serve as patient information consultants in orthodontics?

Derya Dursun, Rumeysa Bilici Geçer

  • Open Access
  • Research

The Ugandan sickle Pan-African research consortium registry: design, development, and lessons

Mike Nsubuga, Henry Mutegeki, Daudi Jjingo, Deogratias Munube, Ruth Namazzi, Robert Opoka, Philip Kasirye, Grace Ndeezi, Heather Hume, Ezekiel Mupere, Grace Kebirungi, Isaac Birungi, Jack Morrice, Mario Jonas, Victoria Nembaware, Ambroise Wonkam, Julie Makani, Sarah Kiguli

  • Open Access
  • Research

Long-term prediction of Iranian blood product supply using LSTM: a 5-year forecast

Ebrahim Miri-Moghaddam, Saeede Khosravi Bizhaem, Zohre Moezzifar, Fatemeh Salmani

  • Open Access
  • Review

Transformer models in biomedicine

Sumit Madan, Manuel Lentzen, Johannes Brandt, Daniel Rueckert, Martin Hofmann-Apitius, Holger Fröhlich

A machine learning approach to determine the risk factors for fall in multiple sclerosis

Su Özgür, Meryem Koçaslan Toran, İsmail Toygar, Gizem Yağmur Yalçın, Mefkure Eraksoy

  • Open Access
  • Research

An ontology-based tool for modeling and documenting events in neurosurgery

Patricia Romao, Stefanie Neuenschwander, Chantal Zbinden, Kathleen Seidel, Murat Sariyar

Predicting angiographic coronary artery disease using machine learning and high-frequency QRS

Jiajia Zhang, Heng Zhang, Ting Wei, Pinfang Kang, Bi Tang, Hongju Wang

  • Open Access
  • Research

Joint extraction of Chinese medical entities and relations based on RoBERTa and single-module global pointer

Dongmei Li, Yu Yang, Jinman Cui, Xianghao Meng, Jintao Qu, Zhuobin Jiang, Yufeng Zhao

Unlocking treatment success: predicting atypical antipsychotic continuation in youth with mania

Xiangying Yang, Wenbo Huang, Li Liu, Lei Li, Song Qing, Na Huang, Jun Zeng, Kai Yang

  • Open Access
  • Research

Improving the quality of Persian clinical text with a novel spelling correction system

Seyed Mohammad Sadegh Dashti, Seyedeh Fatemeh Dashti

  • Open Access
  • Research

An improved data augmentation approach and its application in medical named entity recognition

Hongyu Chen, Li Dan, Yonghe Lu, Minghong Chen, Jinxia Zhang

Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning

K. Vanitha, Mahesh T. R, S. Sathea Sree, Suresh Guluwadi

Prediction of 30-day mortality for ICU patients with Sepsis-3

Zhijiang Yu, Negin Ashrafi, Hexin Li, Kamiar Alaei, Maryam Pishgar

A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy

Tian Dai, Manzhen Bao, Miao Zhang, Zonggui Wang, JingJing Tang, Zeyan Liu

Deep learning-based multimodal fusion of the surface ECG and clinical features in prediction of atrial fibrillation recurrence following catheter ablation

Yue Qiu, Hongcheng Guo, Shixin Wang, Shu Yang, Xiafeng Peng, Dongqin Xiayao, Renjie Chen, Jian Yang, Jiaheng Liu, Mingfang Li, Zhoujun Li, Hongwu Chen, Minglong Chen

  • Open Access
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Community perspectives on the use of electronic health data to support reflective practice by health professionals

Anna Janssen, Kavisha Shah, Melanie Keep, Tim Shaw

Patient profiled data for treatment decision-making: valuable as an add-on to hepatitis C clinical guidelines?

Sylvia M. Brakenhoff, Thymen Theijse, Peter van Wijngaarden, Christian Trautwein, Jonathan F. Brozat, Frank Tacke, Pieter Honkoop, Thomas Vanwolleghem, Dirk Posthouwer, Stefan Zeuzem, Ulrike Mihm, Heiner Wedemeyer, Thomas Berg, Solko W. Schalm, Robert J. de Knegt

Prediction of sepsis mortality in ICU patients using machine learning methods

Jiayi Gao, Yuying Lu, Negin Ashrafi, Ian Domingo, Kamiar Alaei, Maryam Pishgar

  • Open Access
  • ECMO
  • Research

Machine learning model predicts airway stenosis requiring clinical intervention in patients after lung transplantation: a retrospective case-controlled study

Dong Tian, Yu-Jie Zuo, Hao-Ji Yan, Heng Huang, Ming-Zhao Liu, Hang Yang, Jin Zhao, Ling-Zhi Shi, Jing-Yu Chen

  • Open Access
  • Correction

Correction: Creating a health informatics data resource for hearing health research

Nishchay Mehta, Baptiste Briot Ribeyre, Lilia Dimitrov, Louise J. English, Colleen Ewart, Antje Heinrich, Nikhil Joshi, Kevin J. Munro, Gail Roadknight, Luis Romao, Anne Gm Schilder, Ruth V. Spriggs, Ruth Norris, Talisa Ross, George Tilston

  • Open Access
  • Research

Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana

Edith Antor, Joseph Owusu-Marfo, Jonathan Kissi

Prediction of midpalatal suture maturation stage based on transfer learning and enhanced vision transformer

Haomin Tang, Shu Liu, Weijie Tan, Lingling Fu, Ming Yan, Hongchao Feng

Rehab-AMD: co-design of an application for visual rehabilitation and monitoring of Age-related Macular Degeneration

Guadalupe González-Montero, María Guijarro Mata-García, Carlos Moreno Martínez, Joaquín Recas Piorno

Predicting high blood pressure using machine learning models in low- and middle-income countries

Ekaba Bisong, Noor Jibril, Preethi Premnath, Elsy Buligwa, George Oboh, Adanna Chukwuma

Development and validation of a machine learning-based model to assess probability of systemic inflammatory response syndrome in patients with severe multiple traumas

Alexander Prokazyuk, Aidos Tlemissov, Marat Zhanaspayev, Sabina Aubakirova, Arman Mussabekov

  • Open Access
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Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis

Umesh Kumar Lilhore, Sarita Simiaya, Musaed Alhussein, Neetu Faujdar, Surjeet Dalal, Khursheed Aurangzeb

  • Open Access
  • Research

How successful is the CatBoost classifier in diagnosing different dental anomalies in patients via sella turcica and vertebral morphologic alteration?

Merve Gonca, Busra Beser Gul, Mehmet Fatih Sert

  • Open Access
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From admission to discharge: a systematic review of clinical natural language processing along the patient journey

Katrin Klug, Katharina Beckh, Dario Antweiler, Nilesh Chakraborty, Giulia Baldini, Katharina Laue, René Hosch, Felix Nensa, Martin Schuler, Sven Giesselbach

A deep convolutional neural network approach using medical image classification

Mohammad Mousavi, Soodeh Hosseini

  • Open Access
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Selection of data analytic techniques by using fuzzy AHP TOPSIS from a healthcare perspective

Abdullah Alharbi, Wael Alosaimi, Hashem Alyami, Bader Alouffi, Ahmed Almulihi, Mohd Nadeem, Mohd Asim Sayeed, Raees Ahmad Khan

  • Open Access
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Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care

Robin Blythe, Sundresan Naicker, Nicole White, Raelene Donovan, Ian A. Scott, Andrew McKelliget, Steven M McPhail

Med-MGF: multi-level graph-based framework for handling medical data imbalance and representation

Tuong Minh Nguyen, Kim Leng Poh, Shu-Ling Chong, Jan Hau Lee

  • Open Access
  • Systematic Review

Common data quality elements for health information systems: a systematic review

Hossein Ghalavand, Saied Shirshahi, Alireza Rahimi, Zarrin Zarrinabadi, Fatemeh Amani

  • Open Access
  • Research

Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark study

Yingxia Li, Tobias Herold, Ulrich Mansmann, Roman Hornung

  • Open Access
  • Research

lab2clean: a novel algorithm for automated cleaning of retrospective clinical laboratory results data for secondary uses

Ahmed Medhat Zayed, Arne Janssens, Pavlos Mamouris, Nicolas Delvaux

Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method

Mehdi Sharafi, Mohammad Ali Mohsenpour, Sima Afrashteh, Mohammad Hassan Eftekhari, Azizallah Dehghan, Akram Farhadi, Aboubakr Jafarnezhad, Abdoljabbar Zakeri, Mehdi Azizmohammad Looha

Trustworthy and ethical AI-enabled cardiovascular care: a rapid review

Maryam Mooghali, Austin M. Stroud, Dong Whi Yoo, Barbara A. Barry, Alyssa A. Grimshaw, Joseph S. Ross, Xuan Zhu, Jennifer E. Miller

Data privacy-aware machine learning approach in pancreatic cancer diagnosis

Ömer Faruk AKMEŞE

Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3

Md. Sohanur Rahman, Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Mufti Mahmud, Mohammed Fasihul Alam, Mamun Bin Ibne Reaz, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury

Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications

Tala Mirzaei, Leila Amini, Pouyan Esmaeilzadeh

Analysis of anterior segment in primary angle closure suspect with deep learning models

Ziwei Fu, Jinwei Xi, Zhi Ji, Ruxue Zhang, Jianping Wang, Rui Shi, Xiaoli Pu, Jingni Yu, Fang Xue, Jianrong Liu, Yanrong Wang, Hua Zhong, Jun Feng, Min Zhang, Yuan He

Harnessing computational tools of the digital era for enhanced infection control

Francesco Branda

  • Open Access
  • Research

The red blood cell distribution width to albumin ratio was a potential prognostic biomarker for acute respiratory failure: a retrospective study

Qian He, Song Hu, Jun xie, Hui Liu, Chong Li

  • Open Access
  • Research

Health professionals’ perceptions of electronic health records system: a mixed method study in Ghana

Nathan Kumasenu Mensah, Godwin Adzakpah, Jonathan Kissi, Kasim Abdulai, Hannah Taylor-Abdulai, Stephen Benyi Johnson, Christabell Opoku, Cephas Hallo, Richard Okyere Boadu

  • Open Access
  • Software

Enhancing clinical data retrieval with Smart Watchers: a NiFi-based ETL pipeline for Elasticsearch queries

Mohammad Al-Agil, Stephen J. Obee, Vlad Dinu, James Teo, David Brawand, Piers E. M. Patten, Anwar Alhaq

Classification of coronary artery disease using radial artery pulse wave analysis via machine learning

Yi Lyu, Hai-Mei Wu, Hai-Xia Yan, Rui Guo, Yu-Jie Xiong, Rui Chen, Wen-Yue Huang, Jing Hong, Rong Lyu, Yi-Qin Wang, Jin Xu

Development and validation of a nomogram for predicting critical respiratory events during early anesthesia recovery in elderly patients

Jingying Huang, Jin Yang, Haiou Qi, Xin Xu, Yiting Zhu, Miaomiao Xu, Yuting Wang

  • Open Access
  • Research

Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital–a longitudinal comparative document analysis

Florian Wurster, Christin Herrmann, Marina Beckmann, Natalia Cecon-Stabel, Kerstin Dittmer, Till Hansen, Julia Jaschke, Juliane Köberlein-Neu, Mi-Ran Okumu, Holger Pfaff, Carsten Rusniok, Ute Karbach

  • Open Access
  • Research

A cross domain access control model for medical consortium based on DBSCAN and penalty function

Chuanjia Yao, Rong Jiang, Bin Wu, Pinghui Li, Chenguang Wang

Machine learning-based evaluation of prognostic factors for mortality and relapse in patients with acute lymphoblastic leukemia: a comparative simulation study

Zahra Mehrbakhsh, Roghayyeh Hassanzadeh, Nasser Behnampour, Leili Tapak, Ziba Zarrin, Salman Khazaei, Irina Dinu

  • Open Access
  • Research

Real-world data to support post-market safety and performance of embolization coils: evidence generation from a medical device manufacturer and data institute partnership

Amelia Hochreiter-Hufford, Jennifer Gatz, Amy M. Griggs, Ryan D. Schoch, Kimberly M. Birmingham, Christopher Frederick, John Price, Scott Snyder

  • Open Access
  • Correction

Correction: Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3

Md. Sohanur Rahman, Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Mufti Mahmud, Mohammed Fasihul Alam, Mamun Bin Ibne Reaz, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury

Skin lesion segmentation using deep learning algorithm with ant colony optimization

Nadeem Sarwar, Asma Irshad, Qamar H. Naith, Kholod D.Alsufiani, Faris A. Almalki

Transfer learning-enabled outcome prediction for guiding CRRT treatment of the pediatric patients with sepsis

Xiao-Qing Li, Rui-Quan Wang, Lian-Qiang Wu, Dong-Mei Chen

  • Open Access
  • Research

RegulEm, an unified protocol based-app for the treatment of emotional disorders: a parallel mixed methods usability and quality study

Laura Martínez-García, Alba Fadrique-Jiménez, Vanesa-Ferreres -Galán, Cristina Robert Flors, Jorge Osma

Predictive model of prognosis index for invasive micropapillary carcinoma of the breast based on machine learning: a SEER population-based study

Zirong Jiang, Yushuai Yu, Xin Yu, Mingyao Huang, Qing Wang, Kaiyan Huang, Chuangui Song

Late feature fusion using neural network with voting classifier for Parkinson’s disease detection

Abeer Aljohani

  • Open Access
  • Research

The application of machine learning for identifying frailty in older patients during hospital admission

Yin-Yi Chou, Min-Shian Wang, Cheng-Fu Lin, Yu-Shan Lee, Pei-Hua Lee, Shih-Ming Huang, Chieh-Liang Wu, Shih-Yi Lin

Comparison of semi and fully automated artificial intelligence driven softwares and manual system for cephalometric analysis

Rumeesha Zaheer, Hafiza Zobia Shafique, Zahra Khalid, Rooma Shahid, Abdullah Jan, Tooba Zahoor, Ramsha Nawaz, Mehak ul Hassan

Use of web-based decision support to improve informed choice for chemoprevention: a qualitative analysis of pre-implementation interviews (SWOG S1904)

Alissa M. Michel, Haeseung Yi, Jacquelyn Amenta, Nicole Collins, Anna Vaynrub, Subiksha Umakanth, Garnet Anderson, Katie Arnold, Cynthia Law, Sandhya Pruthi, Ana Sandoval-Leon, Rachel Shirley, Maria Grosse Perdekamp, Sarah Colonna, Stacy Krisher, Tari King, Lisa D. Yee, Tarah J. Ballinger, Christa Braun-Inglis, Debra A. Mangino, Kari Wisinski, Claudia A. DeYoung, Masey Ross, Justin Floyd, Andrea Kaster, Lindi VanderWalde, Thomas J. Saphner, Corrine Zarwan, Shelly Lo, Cathy Graham, Alison Conlin, Kathleen Yost, Doreen Agnese, Cheryl Jernigan, Dawn L. Hershman, Marian L. Neuhouser, Banu Arun, Katherine D. Crew, Rita Kukafka

  • Open Access
  • Research

Decision threshold models in medical decision making: a scoping literature review

Andrew Scarffe, Alison Coates, Kevin Brand, Wojtek Michalowski

  • Open Access
  • Research

Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand

Nhung Nghiem, Nick Wilson, Jeremy Krebs, Truyen Tran

Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach

Hang Wu, Wenqi Shi, Anirudh Choudhary, May D. Wang

Identifying the most critical side effects of antidepressant drugs: a new model proposal with quantum spherical fuzzy M-SWARA and DEMATEL techniques

Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel, Abdurrahman Keskin, Nevin Yılmaztürk, Alperen Kılıç

  • Open Access
  • Research

Continuous adaptation of conversation aids for uterine fibroids treatment options in a four-year multi-center implementation project

Danielle Schubbe, Marie-Anne Durand, Rachel C. Forcino, Jaclyn Engel, Marisa Tomaino, Monica Adams-Foster, Carla Bacon, Carrie Cahill Mulligan, Sateria Venable, Tina Foster, Paul J. Barr, Raymond M. Anchan, Shannon Laughlin-Tommaso, Anne Lindholm, Maya Seshan, Rossella M. Gargiulo, Patricia Stephenson, Karen George, Mobolaji Ajao, Tessa Madden, Erika Banks, Antonio R. Gargiulo, James O’Malley, Maria van den Muijsenbergh, Johanna W. M. Aarts, Glyn Elwyn

Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules

Yechan Seo, Seoi Jeong, Siyoung Lee, Tae-Shin Kim, Jun-Hoe Kim, Chun Kee Chung, Chang-Hyun Lee, John M. Rhee, Hyoun-Joong Kong, Chi Heon Kim

  • Open Access
  • Research

Strengths, weaknesses, opportunities, and threats (SWOT) of the electronic prescribing systems executed in Iran from the physician’s viewpoint: a qualitative study

Mohamad Jebraeily, Shahryar Naji, Aynaz Nourani

  • Open Access
  • Research

Study on medical dispute prediction model and its clinical-application effectiveness based on machine learning

Jicheng Li, Tao Zhu, Lin Wang, Luxi Yang, Yulong Zhu, Rui Li, Yubo Li, Yongcong Chen, Lingqing Zhang

Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data

Kogilavani Shanmugavadivel, Murali Dhar M S, Mahesh T R, Taher Al-Shehari, Nasser A. Alsadhan, Temesgen Engida Yimer

  • Open Access
  • Research

Enhancing visual seismocardiography in noisy environments with adaptive bidirectional filtering for Cardiac Health Monitoring

Geetha N, C. Rohith Bhat, Mahesh TR, Temesgen Engida Yimer

Validation of large language models for detecting pathologic complete response in breast cancer using population-based pathology reports

Ken Cheligeer, Guosong Wu, Alison Laws, May Lynn Quan, Andrea Li, Anne-Marie Brisson, Jason Xie, Yuan Xu

Machine learning–based prediction model for hypofibrinogenemia after tigecycline therapy

Jianping Zhu, Rui Zhao, Zhenwei Yu, Liucheng Li, Jiayue Wei, Yan Guan

Development of brain tumor radiogenomic classification using GAN-based augmentation of MRI slices in the newly released gazi brains dataset

M.M.Enes Yurtsever, Yilmaz Atay, Bilgehan Arslan, Seref Sagiroglu

  • Open Access
  • Research

Leverage machine learning to identify key measures in hospital operations management: a retrospective study to explore feasibility and performance of four common algorithms

Wantao Zhang, Yan Zhu, Liqun Tong, Guo Wei, Huajun Zhang

The power of deep learning in simplifying feature selection for hepatocellular carcinoma: a review

Ghada Mostafa, Hamdi Mahmoud, Tarek Abd El-Hafeez, Mohamed E.ElAraby

Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs

Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan

  • Open Access
  • Research

A hybrid framework with large language models for rare disease phenotyping

Jinge Wu, Hang Dong, Zexi Li, Haowei Wang, Runci Li, Arijit Patra, Chengliang Dai, Waqar Ali, Phil Scordis, Honghan Wu

  • Open Access
  • Research

New experience of implementing patient e-referral in the Iranian health system: a qualitative study

Ali Vafaee-Najar, Elaheh Hooshmand, Arefeh Pourtaleb, Hasan Ramezani Chenar

  • Open Access
  • Research

Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting

Radouane Rhayha, Abderrahman Alaoui Ismaili

Designing and evaluating a mobile app to assist patients undergoing coronary angiography and assessing its impact on anxiety, stress levels, and self-care

Milad Safaei, Amin Mahdavi, Roghayeh Mehdipour-Rabori

Forecasting severe respiratory disease hospitalizations using machine learning algorithms

Steffen Albrecht, David Broderick, Katharina Dost, Isabella Cheung, Nhung Nghiem, Milton Wu, Johnny Zhu, Nooriyan Poonawala-Lohani, Sarah Jamison, Damayanthi Rasanathan, Sue Huang, Adrian Trenholme, Alicia Stanley, Shirley Lawrence, Samantha Marsh, Lorraine Castelino, Janine Paynter, Nikki Turner, Peter McIntyre, Patricia Riddle, Cameron Grant, Gillian Dobbie, Jörg Simon Wicker

Application of Alfalfa App in the management of oral anticoagulation in patients with atrial fibrillation: a multicenter randomized controlled trial

Wenlin Xu, Xinhai Huang, Qiwang Lin, Tingting Wu, Chengfu Guan, Meina Lv, Wei Hu, Hengfen Dai, Pei Chen, Meijuan Li, Feilong Zhang, Jinhua Zhang

Optimizing emergency department efficiency: a comparative analysis of process mining and simulation models to mitigate overcrowding and waiting times

Fereshteh Davari, Mehdi Nasr Isfahani, Arezoo Atighechian, Erfan Ghobadian

  • Open Access
  • Research

Large-scale identification of social and behavioral determinants of health from clinical notes: comparison of Latent Semantic Indexing and Generative Pretrained Transformer (GPT) models

Sujoy Roy, Shane Morrell, Lili Zhao, Ramin Homayouni

Proposed framework for medication delivery system in the Jordanian public health sector

Ayah Elshebli, Ghaleb Sweis, Ahmad Sharaf, Ghaith Al Jaghbeer

  • Open Access
  • Research

Machine learning applications in studying mental health among immigrants and racial and ethnic minorities: an exploratory scoping review

Khushbu Khatri Park, Mohammad Saleem, Mohammed Ali Al-Garadi, Abdulaziz Ahmed

Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks

G. S. Pradeep Ghantasala, Kumar Dilip, Pellakuri Vidyullatha, Sarah Allabun, Mohammed S. Alqahtani, Manal Othman, Mohamed Abbas, Ben Othman Soufiene

Strategy for scheduled downtime of hospital information system utilizing third-party applications

Inhae Jo, Woojin Kim, Younghee Lim, Eunjeong Kang, Jinung Kim, Hyekyung Chung, Jihae Kim, Eunhye Kang, Yoon Bin Jung

A complex ePrescribing antimicrobial stewardship-based (ePAMS+) intervention for hospitals: mixed-methods feasibility trial results

Christopher J. Weir, Susan Hinder, Imad Adamestam, Rona Sharp, Holly Ennis, Andrew Heed, Robin Williams, Kathrin Cresswell, Omara Dogar, Sarah Pontefract, Jamie Coleman, Richard Lilford, Neil Watson, Ann Slee, Antony Chuter, Jillian Beggs, Sarah Slight, James Mason, David W. Bates, Aziz Sheikh

Patient perceptions of an electronic-health-record-based rheumatoid arthritis outcomes dashboard: a mixed-methods study

Catherine Nasrallah, Cherish Wilson, Alicia Hamblin, Christine Hariz, Cammie Young, Jing Li, Jinoos Yazdany, Gabriela Schmajuk

  • Open Access
  • Research

Permissioned blockchain network for proactive access control to electronic health records

Evgenia Psarra, Dimitris Apostolou, Yiannis Verginadis, Ioannis Patiniotakis, Gregoris Mentzas

A time series algorithm to predict surgery in neonatal necrotizing enterocolitis

Cheng Cui, Ling Qiu, Ling Li, Fei-Long Chen, Xiao Liu, Huan Sun, Xiao-Chen Liu, Lei Bao, Lu-Quan Li

Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits

Muskan Garg, Sara Hejazi, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn

Telehealth to increase healthcare access; perspectives of people who use drugs

Zoi Papalamprakopoulou, Elisavet Ntagianta, Vasiliki Triantafyllou, George Kalamitsis, Arpan Dharia, Suzanne S. Dickerson, Angelos Hatzakis, Andrew H. Talal

Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators

Kenneth A. McLean, Alessandro Sgrò, Leo R. Brown, Louis F. Buijs, Kirsty Mozolowski, Luke Daines, Kathrin Cresswell, Mark A. Potter, Matt-Mouley Bouamrane, Ewen M. Harrison

  • Open Access
  • Correction

Correction: Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand

Nhung Nghiem, Nick Wilson, Jeremy Krebs, Truyen Tran

  • Open Access
  • Research

A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-Related Group (DRG) code modifiers

Eilon Gabel, Jonathan Gal, Tristan Grogan, Ira Hofer

  • Open Access
  • Database

TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines

Sadam Hussain, Usman Naseem, Mansoor Ali, Daly Betzabeth Avendaño Avalos, Servando Cardona-Huerta, Beatriz Alejandra Bosques Palomo, Jose Gerardo Tamez-Peña

  • Open Access
  • Research

Deep learning assisted cancer disease prediction from gene expression data using WT-GAN

U. Ravindran, C. Gunavathi

  • Open Access
  • Research

Mapping the landscape of machine learning models used for predicting transfusions in surgical procedures: a scoping review

Olivier Duranteau, Florian Blanchard, Benjamin Popoff, Faridi S. van Etten-Jamaludin, Turgay Tuna, Benedikt Preckel

  • Open Access
  • Research

Face and content validity of the EMPOWER-UP questionnaire: a generic measure of empowerment in relational decision-making and problem-solving

Emilie Haarslev Schröder Marqvorsen, Line Lund, Sigrid Normann Biener, Mette Due-Christensen, Gitte R. Husted, Rikke Jørgensen, Anne Sophie Mathiesen, Mette Linnet Olesen, Morten Aagaard Petersen, François Pouwer, Bodil Rasmussen, Mette Juel Rothmann, Thordis Thomsen, Kirsty Winkley, Vibeke Zoffmann

Accelerated hazard prediction based on age time-scale for women diagnosed with breast cancer using a deep learning method

Zahra Ramezani, Jamshid Yazdani Charati, Reza Alizadeh-Navaei, Mohammad Eslamijouybari

  • Open Access
  • Shock
  • Research

Pilot deployment of a machine-learning enhanced prediction of need for hemorrhage resuscitation after trauma – the ShockMatrix pilot study

Tobias Gauss, Jean-Denis Moyer, Clelia Colas, Manuel Pichon, Nathalie Delhaye, Marie Werner, Veronique Ramonda, Theophile Sempe, Sofiane Medjkoune, Julie Josse, Arthur James, Anatole Harrois, Caroline Jeantrelle, Mathieu Raux, Jean Pasqueron, Christophe Quesnel, Anne Godier, Mathieu Boutonnet, Delphine Garrigue, Alexandre Bourgeois, Benjamin Bijok, Julien Pottecher, Alain Meyer, Pierluigi Banco, Etienne Montalescau, Eric Meaudre, Jean-Luc Hanouz, Valentin Lefrancois, Gérard Audibert, Marc Leone, Emmanuelle Hammad, Gary Duclos, Thierry Floch, Thomas Geeraerts, Fanny Bounes, Jean Baptiste Bouillon, Benjamin Rieu, Sébastien Gettes, Nouchan Mellati, Leslie Dussau, Elisabeth Gaertner, Benjamin Popoff, Thomas Clavier, Perrine Lepêtre, Marion Scotto, Julie Rotival, Loan Malec, Claire Jaillette, Pierre Gosset, Clément Collard, Jean Pujo, Hatem Kallel, Alexis Fremery, Nicolas Higel, Mathieu Willig, Benjamin Cohen, Paer Selim Abback, Samuel Gay, Etienne Escudier, Romain Mermillod Blondin

Predicting the onset of Alzheimer’s disease and related dementia using electronic health records: findings from the cache county study on memory in aging (1995–2008)

Karen C. Schliep, Jeffrey Thornhill, JoAnn T. Tschanz, Julio C. Facelli, Truls Østbye, Michelle K. Sorweid, Ken R. Smith, Michael Varner, Richard D. Boyce, Christine J. Cliatt Brown, Huong Meeks, Samir Abdelrahman

  • Open Access
  • Research

A novel explainable machine learning-based healthy ageing scale

Katarina Gašperlin Stepančič, Ana Ramovš, Jože Ramovš, Andrej Košir

A modified multiple-criteria decision-making approach based on a protein-protein interaction network to diagnose latent tuberculosis

Somayeh Ayalvari, Marjan Kaedi, Mohammadreza Sehhati

Prediction of femoral head collapse in osteonecrosis using deep learning segmentation and radiomics texture analysis of MRI

Shihua Gao, Haoran Zhu, Moshan Wen, Wei He, Yufeng Wu, Ziqi Li, Jiewei Peng

Informatics assessment of COVID-19 data collection: an analysis of UK Biobank questionnaire data

Craig S. Mayer

Assessing the reliability of medical resource demand models in the context of COVID-19

Kimberly Dautel, Ephraim Agyingi, Pras Pathmanathan

  • Open Access
  • Research

A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems

Jared M. Wohlgemut, Erhan Pisirir, Rebecca S. Stoner, Zane B. Perkins, William Marsh, Nigel R.M. Tai, Evangelia Kyrimi

  • Open Access
  • Research

Feasibility of automated surveillance of implantable devices in orthopaedics via clinical data warehouse: the Studio study

Marie Ansoborlo, Christine Salpétrier, Louis-Romé Le Nail, Julien Herbet, Marc Cuggia, Philippe Rosset, Leslie Grammatico-Guillon

Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters

Jingru Huang, Yong Li, Xiaotan Pan, Jixiu Wei, Qiongqian Xu, Yin Zheng, Peng Chen, Jiabo Chen

  • Open Access
  • Research

Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: methods and application to STOPP/START v2

Lamy Jean-Baptiste, Mouazer Abdelmalek, Léguillon Romain, Lelong Romain, Darmoni Stéfan, Sedki Karima, Dubois Sophie, Falcoff Hector

  • Open Access
  • Research

Analysis and knowledge extraction of newborn resuscitation activities from annotation files

Mohanad Abukmeil, Øyvind Meinich-Bache, Trygve Eftestøl, Siren Rettedal, Helge Myklebust, Thomas Bailey Tysland, Hege Ersdal, Estomih Mduma, Kjersti Engan

Interpretable prediction of 30-day mortality in patients with acute pancreatitis based on machine learning and SHAP

Xiaojing Li, Yueqin Tian, Shuangmei Li, Haidong Wu, Tong Wang

Predictive modeling of preoperative acute heart failure in older adults with hypertension: a dual perspective of SHAP values and interaction analysis

Qili Yu, Zhiyong Hou, Zhiqian Wang

Experiences and needs of older patients with stroke in China involved in rehabilitation decision-making: a qualitative study

Zining Guo, Sining Zeng, Keyu Ling, Shufan Chen, Ting Yao, Haihan Li, Ling Xu, Xiaoping Zhu

  • Open Access
  • Research

A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing

Khadijeh Moulaei, Somayeh salehi, Masoud Shahabian, Babak sabet, Farshid Rezaei, Adrina Habibzadeh, Mohammad Reza Afrash

Explainable machine learning model for predicting the risk of significant liver fibrosis in patients with diabetic retinopathy

Gangfeng Zhu, Na Yang, Qiang Yi, Rui Xu, Liangjian Zheng, Yunlong Zhu, Junyan Li, Jie Che, Cixiang Chen, Zenghong Lu, Li Huang, Yi Xiang, Tianlei Zheng

  • Open Access
  • Research

An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse

Lena Baum, Armin Müller, Marco Johns, Hammam Abu Attieh, Mehmed Halilovic, Vladimir Milicevic, Diogo Telmo Neves, Karen Otte, Anna Pasquier, Felix Nikolaus Wirth, Patrick Segelitz, Katharina Schönrath, Joachim E. Weber, Fabian Prasser

Machine learning–based predictive model for post-stroke dementia

Zemin Wei, Mengqi Li, Chenghui Zhang, Jinli Miao, Wenmin Wang, Hong Fan

  • Open Access
  • Research

Systematic review and meta-analysis of workload among medical records coders in China

Yu Liu, Chao Wu, Meiling Cao, Chunyan Lei, Zhiqiang Zhou, Wenjing Ou

  • Open Access
  • Research

Development of a cerebellar ataxia diagnosis model using conditional GAN-based synthetic data generation for visuomotor adaptation task

Jinah Kim, Sung-Ho Woo, Taekyung Kim, Won Tae Yoon, Jung Hwan Shin, Jee-Young Lee, Jeh-Kwang Ryu

Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda

Dima Tareq Al-Absi, Mecit Can Emre Simsekler, Mohammed Atif Omar, Siddiq Anwar

A qualitative study to inform the development of a decision support tool for the diagnosis of pulmonary tuberculosis in Tigray, Ethiopia

Gebremedhin Berhe Gebregergs, Gebretsadik Berhe, Kibrom Gebreslasie Gebrehiwot, Afework Mulugeta

Prediction of 12-month recurrence of pancreatic cancer using machine learning and prognostic factors

Raoof Nopour

  • Open Access
  • Research

Measuring healthcare professionals’ perceptions of their ability to adopt shared decision making: Translation and psychometric evaluation of the Danish version of the IcanSDM questionnaire

Jeanette Finderup, Hilary L. Bekker, Nadia Thielke Albèr, Susanne Boel, Louise Engelbrecht Buur, Helle Sørensen von Essen, Anne Wilhøft Kristensen, Kristian Damgaard Lyng, Tina Wang Vedelø, Gitte Susanne Rasmussen, Pernille Christiansen Skovlund, Stine Rauff Søndergaard, Anik Giguère

  • Open Access
  • Research

Evaluating the usability of Iran’s national comprehensive health information system: a think-aloud study to uncover usability problems in the recording of childcare data

Razieh Farrahi, Ehsan Nabovati, Reyhane Bigham, Fateme Rangraz Jeddi

Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning

Hui Xu, Xingwang Peng, Ziyu Peng, Rui Wang, Rui Zhou, Lianguo Fu

Classification of lumbar spine disorders using large language models and MRI segmentation

Rongpeng Dong, Xueliang Cheng, Mingyang Kang, Yang Qu

A novel prediction model for the prognosis of non-small cell lung cancer with clinical routine laboratory indicators: a machine learning approach

Yuli Wang, Na Mei, Ziyi Zhou, Yuan Fang, Jiacheng Lin, Fanchen Zhao, Zhihong Fang, Yan Li

  • Open Access
  • Research

DAPNet: multi-view graph contrastive network incorporating disease clinical and molecular associations for disease progression prediction

Haoyu Tian, Xiong He, Kuo Yang, Xinyu Dai, Yiming Liu, Fengjin Zhang, Zixin Shu, Qiguang Zheng, Shihua Wang, Jianan Xia, Tiancai Wen, Baoyan Liu, Jian Yu, Xuezhong Zhou

  • Open Access
  • Research

Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis

Manhong Shi, Yinuo Shi, Yuxin Lin, Xue Qi

  • Open Access
  • Research

Anomaly-based threat detection in smart health using machine learning

Muntaha Tabassum, Saba Mahmood, Amal Bukhari, Bader Alshemaimri, Ali Daud, Fatima Khalique

  • Open Access
  • Research

Paramedic perceptions of decision-making when managing mental health-related presentations: a qualitative study

Kate Emond, George Mnatzaganian, Michael Savic, Dan I. Lubman, Melanie Bish

  • Open Access
  • CABG
  • Research

Risk factors and prediction model for acute ischemic stroke after off-pump coronary artery bypass grafting based on Bayesian network

Wenlong Zou, Haipeng Zhao, Ming Ren, Chaoxiong Cui, Guobin Yuan, Boyi Yuan, Zeyu Ji, Chao Wu, Bin Cai, Tingting Yang, Jinjun Zou, Guangzhi Liu

  • Open Access
  • Research

Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation

Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Tae Joon Jun, Young-Hak Kim

  • Open Access
  • Research

Predictive model for congenital heart disease in children of Pakistan by using structural equation modeling

Sana Shahid, Haris Khurram, Muhammad Ahmed Shehzad, Muhammad Aslam

  • Open Access
  • Research

Healthcare dashboard technologies and data visualization for lipid management: A scoping review

Mahnaz Samadbeik, Teyl Engstrom, Elton H Lobo, Karem Kostner, Jodie A Austin, Jason D Pole, Clair Sullivan

  • Open Access
  • Research

Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data

David Cheng-Zarate, James Burns, Cathy Ngo, Agnes Haryanto, Gregory Duncan, David Taniar, Michael Wybrow

  • Open Access
  • Research

Multimodal machine learning for language and speech markers identification in mental health

Georgios Drougkas, Erwin M. Bakker, Marco Spruit

Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning

Zhengkai Xue, Shijia Geng, Shaohua Guo, Guanyu Mu, Bo Yu, Peng Wang, Sutao Hu, Deyun Zhang, Weilun Xu, Yanhong Liu, Lei Yang, Huayue Tao, Shenda Hong, Kangyin Chen

  • Open Access
  • Software

Natural language processing data services for healthcare providers

Joshua Au Yeung, Anthony Shek, Thomas Searle, Zeljko Kraljevic, Vlad Dinu, Mart Ratas, Mohammad Al-Agil, Aleksandra Foy, Barbara Rafferty, Vitaliy Oliynyk, James T. Teo

Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review

Cindy N. Ho, Tiffany Tian, Alessandra T. Ayers, Rachel E. Aaron, Vidith Phillips, Risa M. Wolf, Nestoras Mathioudakis, Tinglong Dai, David C. Klonoff

Prediction model of ICU readmission in Chinese patients with acute type A aortic dissection: a retrospective study

Hong Ni, Yanchun Peng, Qiong Pan, Zhuling Gao, Sailan Li, Liangwan Chen, Yanjuan Lin

Machine learning predicts pulmonary Long Covid sequelae using clinical data

Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, Marco Alì

Development and validation of a rheumatoid arthritis case definition: a machine learning approach using data from primary care electronic medical records

Anh N. Q. Pham, Claire E. H. Barber, Neil Drummond, Lisa Jasper, Doug Klein, Cliff Lindeman, Jessica Widdifield, Tyler Williamson, C. Allyson Jones

How to establish and sustain a disease registry: insights from a qualitative study of six disease registries in the UK

Edmund Stubbs, Josephine Exley, Raphael Wittenberg, Nicholas Mays

  • Open Access
  • Correction

Correction: Systematic review and meta-analysis of workload among medical records coders in China

Yu Liu, Chao Wu, Meiling Cao, Chunyan Lei, Zhiqiang Zhou, Wenjing Ou

  • Open Access
  • Research

Evaluation of low-and middle-income countries according to cardiovascular disease risk factors by using pythagorean fuzzy AHP and TOPSIS methods

Gizem Zevde Aydın, Barış Özkan

Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models

Ali Raza, Fatma Eid, Elisabeth Caro Montero, Irene Delgado Noya, Imran Ashraf

  • Open Access
  • Research

Which criteria are important in usability evaluation of mHealth applications: an umbrella review

Zahra Galavi, Mahdieh Montazeri, Reza Khajouei

  • Open Access
  • Research

Analyzing evaluation methods for large language models in the medical field: a scoping review

Junbok Lee, Sungkyung Park, Jaeyong Shin, Belong Cho

  • Open Access
  • Research

Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset

Sumaiya Sultana Dola, Camilo E. Valderrama

Predictive modelling of linear growth faltering among pediatric patients with Diarrhea in Rural Western Kenya: an explainable machine learning approach

Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore

  • Open Access
  • Research

The psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in persian language

Sadrieh Hajesmaeel-Gohari, Abbas Sheikhtaheri, Fatemeh Dinari, Jamileh Farokhzadian, Kambiz Bahaadinbeigy, Khadijeh Moulaei

  • Open Access
  • Research

Patient and caregiver perceptions of electronic health records interoperability in the NHS and its impact on care quality: a focus group study

Edmond Li, Olivia Lounsbury, Jonathan Clarke, Hutan Ashrafian, Ara Darzi, Ana Luisa Neves

Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study

Andrew Houston, Sophie Williams, William Ricketts, Charles Gutteridge, Chris Tackaberry, John Conibear

Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models

Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

Development and validation of a nomogram model for prolonged length of stay in spinal fusion patients: a retrospective analysis

Linghong Wu, Xiaozhong Peng, Yao Lu, Cuiping Fu, Liujun She, Guangwei Zhu, Xianglong Zhuo, Wei Hu, Xiangtao Xie

  • Open Access
  • Research

A heuristic evaluation of a pharmacy surveillance information system

Reza Abbasi, Mehrdad Farzandipour, Habiballah Rahimi, Yang Gong, Ehsan Nabovati

  • Open Access
  • Research

A Decision Tree-Driven IoT systems for improved pre-natal diagnostic accuracy

Xuewen Yang, Ling Liu, Yan Wang

  • Open Access
  • Research

Towards improving district health information system data consistency, report completeness and timeliness in Neno district, Malawi

Moses Banda Aron, Wiseman Emmanuel Nkhomah, Luckson Dullie, Beatrice Matanje, Chiyembekezo Kachimanga, Enoch Ndarama, Stellar Chibvunde, Manuel Mulwafu, Gladys Mtalimanja Banda, Kondwani Mpinga, Martha Kutsamba, Margaret Mikwamba, Isaac Mphande, Kondwani Matiya, Charles F. Buleya, Mwayi Chunga, Fabien Munyaneza

  • Open Access
  • Research

Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning

Bruno Matos Porto, Flavio Sanson Fogliatto

A prior-knowledge-guided dynamic attention mechanism to predict nocturnal hypoglycemic events in type 1 diabetes

Xia Yu, Zi Yang, Xinzhuo Wang, Xiaoyu Sun, Ruiting Shen, Hongru Li, Mingchen Zhang

A potential predictive model based on machine learning and CPD parameters in elderly patients with aplastic anemia and myelodysplastic neoplasms

Yuxiang Qi, Xu Liu, Zhishan Ding, Ying Yu, Zhenchao Zhuang

The perception of facilitators and barriers to the use of e-health solutions in Poland: a qualitative study

Paulina Smoła, Iwona Młoźniak, Monika Wojcieszko, Urszula Zwierczyk, Mateusz Kobryn, Elżbieta Rzepecka, Mariusz Duplaga

  • Open Access
  • Research

Target informed client recruitment for efficient federated learning in healthcare

Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor

  • Open Access
  • Research

Improving event prediction using general practitioner clinical judgement in a digital risk stratification model: a pilot study

Emma Parry, Kamran Ahmed, Elizabeth Guest, Vijay Klaire, Abdool Koodaruth, Prasadika Labutale, Dawn Matthews, Jonathan Lampitt, Alan Nevill, Gillian Pickavance, Mona Sidhu, Kate Warren, Baldev M. Singh

An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques

William Hoyos, Kenia Hoyos, Rander Ruiz, Jose Aguilar

Continuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers

Beibei Hu, Guohui Yin, Jialin Zhu, Yi Bai, Xuren Sun

Development and evaluation of a shared decision-making system for choosing the type of bariatric surgery

Sahar Darnahal, Rita Rezaee, Somayyeh Zakerabasali

The social experience of uncertainty: a qualitative analysis of emergency department care for suspected pneumonia for the design of decision support

Peter Taber, Charlene Weir, Susan L. Zickmund, Elizabeth Rutter, Jorie Butler, Barbara E. Jones

Development, validation and recalibration of a prediction model for prediabetes: an EHR and NHANES-based study

Nicholas J. Casacchia, Kristin M. Lenoir, Joseph Rigdon, Brian J. Wells

Screening for undiagnosed atrial fibrillation using an electronic health record‒based clinical prediction model: clinical pilot implementation initiative

Randall W. Grout, Mohammad Ateya, Baely DiRenzo, Sara Hart, Chase King, Joshua Rajkumar, Susan Sporrer, Asad Torabi, Todd A. Walroth, Richard J. Kovacs

Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current

Shumeng Zhu, Baoping Zhang, Qian Tian, Ao Li, Zhe Liu, Wei Hou, Wenzhe Zhao, Xin Huang, Yao Xiao, Yiming Wang, Rui Wang, Yuhang Li, Jian Yang, Chao Jin

  • Open Access
  • Research

Application of deep learning in wound size measurement using fingernail as the reference

Dun-Hao Chang, Duc-Khanh Nguyen, Thi-Ngoc Nguyen, Chien-Lung Chan

Engaging adolescents and young adults in decisions about return of genomic research results: study protocol for a mixed-methods longitudinal clinical trial protocol

Amy A. Blumling, Michelle L. McGowan, Cynthia A. Prows, Kristin Childers-Buschle, Lisa J. Martin, John A. Lynch, Kevin R. Dufendach, Ellen A. Lipstein, Melinda Butsch Kovacic, William B. Brinkman, Melanie F. Myers

Development of transient ischemic attack risk prediction model suitable for initializing a learning health system unit using electronic medical records

Jian Wen, Tianmei Zhang, Shangrong Ye, Cheng Li, Ruobing Han, Ran Huang, Bairong Shen, Anjun Chen, Qinghua Li

Challenges and solutions in implementing electronic prescribing in Iran’s health system: a qualitative study

Neda Borhani Moghani, Elahe Hooshmand, Marzie Zarqi, Marziyhe Meraji

  • Open Access
  • Research

Early prediction of mortality upon intensive care unit admission

Yu-Chang Yeh, Yu-Ting Kuo, Kuang-Cheng Kuo, Yi-Wei Cheng, Ding-Shan Liu, Feipei Lai, Lu-Cheng Kuo, Tai-Ju Lee, Wing-Sum Chan, Ching-Tang Chiu, Ming-Tao Tsai, Anne Chao, Nai-Kuan Chou, Chong-Jen Yu, Shih-Chi Ku

Digital monitoring of medication safety in children: an investigation of ADR signalling techniques in Malaysia

Beldona Hema Rekha, Shairyzah Ahmad Hisham, Izyan A. Wahab, Norleen Mohamed Ali, Khang Wen Goh, Long Chiau Ming

Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning

Stephen H. Barlow, Sugama Chicklore, Yulan He, Sebastien Ourselin, Thomas Wagner, Anna Barnes, Gary J.R. Cook

  • Open Access
  • Research

Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection

Seyedmostafa Sheikhalishahi, Sebastian Goss, Lea K. Seidlmayer, Sarra Zaghdoudi, Ludwig C. Hinske, Mathias Kaspar

Development and alpha-testing of a patient decision aid for patients with chronic myeloid leukemia regarding dose reduction

D. N. Lokhorst, M. F. Djodikromo, R. P. M. G. Hermens, N. M. A. Blijlevens, C. L. Bekker

A software tool for applying Bayes' theorem in medical diagnostics

Theodora Chatzimichail, Aristides T. Hatjimihail

Development and evaluation of a clinical nursing decision support system for the prevention of neonatal hypoglycaemia

Qiaoyan Liu, Lulu Sun, Jie Yang, Wei Yin, Songmei Cao

  • Open Access
  • Research

Automated redaction of names in adverse event reports using transformer-based neural networks

Eva-Lisa Meldau, Shachi Bista, Carlos Melgarejo-González, G. Niklas Norén

Predicting in-hospital mortality in patients with heart failure combined with atrial fibrillation using stacking ensemble model: an analysis of the medical information mart for intensive care IV (MIMIC-IV)

Panpan Chen, Junhua Sun, Yingjie Chu, Yujie Zhao

  • Open Access
  • Research

Fusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network

Ahmed Saihood, Wijdan Rashid Abdulhussien, Laith Alzubaid, Mohamed Manoufali, Yuantong Gu

Assessing the accuracy and quality of artificial intelligence (AI) chatbot-generated responses in making patient-specific drug-therapy and healthcare-related decisions

Meron W. Shiferaw, Taylor Zheng, Abigail Winter, Leigh Ann Mike, Lingtak-Neander Chan

A nomogram to distinguish noncardiac chest pain based on cardiopulmonary exercise testing in cardiology clinic

Mingyu Xu, Rui Li, Bingqing Bai, Yuting Liu, Haofeng Zhou, Yingxue Liao, Fengyao Liu, Peihua Cao, Qingshan Geng, Huan Ma

Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination

Ashagrie Sharew Iyassu, Haile Mekonnen Fenta, Zelalem G. Dessie, Temesgen T. Zewotir

Evaluation of mobile applications related to patients with Parkinson’s disease based on their essential features and capabilities

Hamid Azadi, Mohammad-Reza Akbarzadeh-Totonchi, Yones Jahani, Sadrieh Hajesmaeel Gohari, Reza Khajouei

Reusing routine electronic health record data for nationwide COVID-19 surveillance in nursing homes: barriers, facilitators, and lessons learned

Y Wieland-Jorna, RA Verheij, AL Francke, R Coppen, SC de Greeff, A Elffers, MG Oosterveld-Vlug

The aluminum standard: using generative Artificial Intelligence tools to synthesize and annotate non-structured patient data

Juan G. Diaz Ochoa, Faizan E. Mustafa, Felix Weil, Yi Wang, Kudret Kama, Markus Knott

Association between serum hypertriglyceridemia and hematological indices: data mining approaches

Somayeh Ghiasi Hafezi, Amin Mansoori, Alireza Kooshki, Marzieh Hosseini, Sahar Ghoflchi, Mark Ghamsary, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

Determining the minimum data elements to develop a child malnutrition registry system

Malihe Sadeghi, Mostafa Langarizadeh, Beheshteh Olang, Mohammadjavad Sayadi, Abbas Sheikhtaheri

An improved electrocardiogram arrhythmia classification performance with feature optimization

Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

  • Open Access
  • Research

A new risk assessment model of venous thromboembolism by considering fuzzy population

Xin Wang, Yu-Qing Yang, Xin-Yu Hong, Si-Hua Liu, Jian-Chu Li, Ting Chen, Ju-Hong Shi

Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis

Gunjan Shandilya, Sheifali Gupta, Salil Bharany, Ateeq Ur Rehman, Upinder Kaur, Hafizan Mat Som, Seada Hussen

Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population identification and potential alternative sperm retrieval exploration

Xiaohui Jiang, Dingming Li, Yi Zheng, Yinxian Li, Hengzhou Bai, Guicheng Zhao, Yi Zhang, Yue Ma

May 24
Issue: Special Issue 1/2024
Selected articles from the 19th Asia Pacific Bioinformatics Conference (APBC 2021): Medical Informatics and Decision Making
Dec 24
Issue: Special Issue 3/2024
Selected articles from the 6th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2021)

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