Top

BMC Medical Informatics and Decision Making

Published in:

Open Access 01-07-2018 | Introduction

Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017)

Authors: Zhe He, Cui Tao, Jiang Bian, Rui Zhang, Jingshan Huang

Published in: BMC Medical Informatics and Decision Making | Special Issue 2/2018

Abstract

In this editorial, we first summarize the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017) held on November 13, 2017 in Kansas City, Missouri, U.S.A., and then briefly introduce 13 research articles included in this supplement issue, covering topics such as Semantic Integration, Deep Learning, Knowledge Base Construction, and Natural Language Processing.

Furukawa MF, Poon E. Meaningful use of health information technology: evidence suggests benefits and challenges lie ahead. Am J Manag Care 2011;17(12 Spec No.):SP76a-SP. PMID: 22216771.

PracticeFusion. EHR adoption rates: 20 must-see stats 2017 [April 20, 2018]. Available from: https://www.practicefusion.com/blog/ehr-adoption-rates/.

PCORnet, the National Patient-Centered Clinical Research Network [May 1, 2017]. Available from: http://www.pcornet.org/.

The Observational Health Data Sciences and Informatics (OHDSI) [March 20, 2016]. Available from: https://ohdsi.org/.

Most Owners of Wearable Fitness Devices Continue to Use Them Daily According to New National Study [April 20, 2018]. Available from: https://www.prnewswire.com/news-releases/english-releases/most-owners-of-wearable-fitness-devices-continue-to-use-them-daily-according-to-new-national-study-300572030.html.

Cimino JJ. High-quality, standard, controlled healthcare terminologies come of age. Methods Inf Med. 2011;50(2):101–4. PMID: 21416108PubMedPubMedCentral

Bodenreider O. Biomedical ontologies in action: role in knowledge management, data integration and decision support Yearb Med Inform; 2008. p. 67–79. PMID: 18660879

He Z, Tao C, Bian J, Dumontier M, Hogan WR. Semantics-powered healthcare engineering and data analytics. J Healthc Eng. 2017;2017:7983473. PMID: 29214005PubMedPubMedCentral

Zhang R, Ma S, Shanahan L, Munroe J, Horn J, Speedie S. Discovering and identifying New York Heart Association classification from electronic health records. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0625-7.

10.

Fan Y, Zhang R. Using natural language processing methods to classify use status of dietary supplements in clinical notes. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0626-6.

11.

Lee HJ, Zhang Y, Jiang M, Xu J, Tao C, Xu H. Identifying direct temporal relations between time and events from clinical notes. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0627-5.

12.

Yu K, Lung PY, Zhao T, Tseng YY, Zhang J. Automatic extraction of protein-protein interactions using grammatical relationship graph. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0628-4.

13.

Li H, Yang M, Chen Q, Tang B, Wang X. Chemical-induced disease extraction via recurrent piecewise convolutional neural networks. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0629-3.

14.

Chen Z, He Z, Liu X, Bian J. Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0630-x.

15.

Zhang X, Wang S, Liu J, Tao C. Towards improving diagnosis of skin diseases by combining deep neural network and human expertise. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0631-9.

16.

Du J, Zhang Y, Luo J, Jia Y, Wei Q, Tao C, Xu H. Extract psychiatric stressors for suicides from social media using deep learning. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0632-8.

17.

Abeysinhe R, Cui L. Query-constraint-based association rule mining over clinical datasets in the National Sleep Research Resource. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0633-7.

18.

Lin R, Amith M, Liang C, Duan R, Chen Y, Tao C, Visualized Emotion Ontology: a model for representing visual cues of emotions. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0634-6.

19.

Lossio-Ventura JA, Hogan W, Modave F, Guo Y, He Z, Yang X, Zhang H, Bian J. OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0635-5.

20.

Zhang H, Guo Y, Li Q, George TJ, Shenkman E, Modave F, Bian J. An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0636-4.

21.

Chen H, Zhang D, Zhang G, Li X, Liang Y, Kasukurthi MV, Borchert GM, Huang J. A semantics-oriented computational approach to investigate microRNA regulation on glucocorticoid resistance in pediatric acute lymphoblastic leukemia. BMC Med Inform Decis Mak. 2018. https://doi.org/10.1186/s12911-018-0637-3.

Title: Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017)
Authors: Zhe He
Cui Tao
Jiang Bian
Rui Zhang
Jingshan Huang
Publication date: 01-07-2018
Publisher: BioMed Central
Published in: BMC Medical Informatics and Decision Making / Issue Special Issue 2/2018
Electronic ISSN: 1472-6947
DOI: https://doi.org/10.1186/s12911-018-0624-8

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017)

Abstract

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Please log in to get access to this content

Other articles of this Special Issue 2/2018

Query-constraint-based mining of association rules for exploratory analysis of clinical datasets in the National Sleep Research Resource

Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases

Identifying direct temporal relations between time and events from clinical notes

Visualized Emotion Ontology: a model for representing visual cues of emotions

Using natural language processing methods to classify use status of dietary supplements in clinical notes

Discovering and identifying New York heart association classification from electronic health records