Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
BMC Medical Informatics and Decision Making
Published in: BMC Medical Informatics and Decision Making 1/2017

Open Access 01-12-2017 | Research article

Medical diagnosis as a linguistic game

Authors: Peter Fritz, Andreas Kleinhans, Florian Kuisle, Patricius Albu, Christine Fritz-Kuisle, Mark Dominik Alscher

Published in: BMC Medical Informatics and Decision Making | Issue 1/2017

Login to get access

Abstract

Background

We present a formalized medical knowledge system using a linguistic approach combined with a semantic net.

Method

Diseases are defined and coded by natural linguistic terms and linked via a complex network of attributes, categories, classes, lists and other semantic conditions.

Results

We have isolated more than 4600 disease entities (termed pathosoms using a made-up word) with more than 100.000 attributes sets (termed pathophemes using a made-up word) and a semantic net with more than 140.000 links. All major-medical thesauri like ICD, ICD-O and OPS are included.

Conclusions

Memem7 is a linguistic approach to medical knowledge approach. With the system, we performed a proof of concept and we conclude from our data that our or similar approaches provides reliable and feasible tools for physicians given a formalized history taking is available. Our approach can be considered as both a linguistic game and a third opinion to a set of patient’s data.
Appendix
Available only for authorised users
Literature
1.
2.
Sadegh-Zadeh K. Handbook of analytic philosophy of medicine. Hamburg: Springer Verlag; 2012.
3.
Zakim D, Braun N, Fritz P. Alscher MD. Underutilization of information and knowledge in everyday medical practice: Evaluation of a Computer-based Solution. BMC Med Inform Decis Mak. 2008;8:50.CrossRefPubMedPubMedCentral
4.
Zakim D, Fritz C, Braun N, Fritz P, Alscher MD. Computerized History-Taking as a Tool to Manage LDL-Cholesterol. Vasc Health Risk Manag. 2010;6:1039–46.CrossRefPubMedPubMedCentral
5.
Zakim D. Development and significance of automated history-taking software for clinical medicine, clinical research and basic medical science. J Intern Med. 2016. doi:10.​1111/​joim.​12509
6.
Mayne JG, Weksel W, Sholtz PN. Toward automating the medical history. Mayo Clin Proc. 1968;43:1–25.PubMed
7.
Coombs GJ, Murray WR, Krahn DW. Automated medical histories: factors determining patient performance. Comput Biomed Res. 1970;3:170–81.CrossRef
8.
9.
Roizen MF, Coalson D, Hayward RS, Schmittner J, Thisted RA, Apfelbaum JL, Stocking CB, Cassel CK, Pompei P, Ford DE. Can patients use an automated questionnaire to define their current health status? Med Care. 1992;30:74–84.CrossRef
10.
Wenner AR, Ferrante M, Belser D. Instant medical history. Proc Annu Symp Comput Appl Med Care. 1994;1036.
11.
12.
Kim JA. A comparative study of nursing diagnosis systems using neural networks and expert systems. Stud Health Technol Inform. 1997;46:404–7.PubMed
13.
Reilly CA. Examining the symptom experience of hospitalized patients usig a pen-based computer. Proc AMIA Symp. 1999;364–368
14.
Pierce B. The use of instant medical history in a rural clinic. Case study of the use of computers in an Arkansas physician’s office. J Ark Med Soc. 2000;96:444–7.PubMed
15.
Fritz-Kuisle C. Medical thesis. Vergleich eines computerbasierten Expertensystems (CLEOS) mit konventioneller Krankheitsbeschreibung (Anamnese und Arztbrief) unter besonderer Berücksichtigung des kardiovaskulären Risikos, des Impfstatus und der Komorbiditäten. Tübingen: Inaugural-Dissertation Universität Tübingen; 2012.
16.
Bacher S. Medical thesis. Erfahrungen mit einer elektronischen Anamnese in einer nephrologischen Facharztpraxis. Tübingen: Inaugural-Dissertation Universität Tübingen; 2013.
17.
Spooner SA. Mathematical foundations of decision supprot systems. In: Elis S. Berner. Clinical Decision Support Systems. Theory and Practice. Hamburg: Springer second edition; 2007.
18.
Haug PJ, Reed M, Gardner R, Evans S, Rocha BH, Rocha RA. Clinical decision support at the intermountain healthcare. In: Elis S. Berner. Clinical Decision Support Systems. Theory and Practice. Hamburg: Springer second edition; 2007
19.
Jia PL, Zhang PF, Li HD, Zhang LH, Chen Y, Zhang MM. Literature review on clinical decision support system reducing medical error. J Evid Based Medicine. 2014;7:219–26.CrossRef
20.
21.
22.
23.
24.
25.
26.
TA. Terminologia Anatomica. International Anatomical Terminology. Thieme, Stuttgart 1998, ISBN 3-13-114361-4.
27.
28.
OMIM. Online Mendelian Inheritance in Man. McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University (Baltimore). http://​omim.​org/​
29.
30.
31.
32.
33.
34.
R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-90061-07-0; 2008. Version 3.1.1.
35.
Swerdlow SH, Campo E, HarrisNL JES, Pileri SA, Stein H, Thiele J, Vardiman JW. WHO classification of tumours of haematopoetic and lymphoid tissue. Lyon: International Agency for Reseach and Cancer; 2008.
36.
Warman L, Cormier-Daire V, Hall C, Krakow D, Lachman R, LeMerrer M, Mortier G, Mundlos G, Nishimura G, Rimoin DL, Robertson S, Savariirayan R, Sillence D, Spranger J, Unger S, Zabel B, Superti-Furga A. Nosology and classification of genetic skeletal disorders: 2010 revision. Am J Med Genet Part A. 2011;155:1–56.CrossRef
37.
38.
Kuhlmann U, Böhler J, Luft FC, Alscher MD, Böhler J. Nephrologie. 6th ed. Verlag: Thieme; 2015.
39.
Alscher MD. Computereinsatz in der Medizin: Chance für eine hochwertige Versorgung. Dtsch Arztebl. 2008;105:1897-900.
40.
Slack WV. Patient-computer dialogue: a hope for the future. Mayo Clinic Proc. 2010;85:701–3.CrossRef
41.
Sun J, Wang F, Hu J, Edabollahi S. Supervised patient similarity measure of heterogeneous patient records. SIGKDD. 2015;14:16–24.CrossRef
42.
43.
Morrison-Beedy D, Carey MP, Tu X. Accuracy of audio-computer-assisted-self-interviewing (ACASI) and self-administered questionnaire for the assessment of sexual behavior. AIDS Beha. 2006;10:541–52.
44.
45.
46.
Müller T, Jerrentrup A, Fritsch HW, Schäfer J. Software zur Unterstützung der Differentialdiagnose in der Inneren Medizin. Auswirkung auf die Qualität der Medizin. Klinikarzt. 2016;45:250–6.CrossRef
47.
48.
49.
50.
51.
Leal A, Goncalves D, Martins B, Couto FM. Lisboa U: Identification and classification of medical concepts. Proceedings of the 8th International workshop on Semantic Evaluation 2014. p. 711–715.
52.
Metadata
Title
Medical diagnosis as a linguistic game
Authors
Peter Fritz
Andreas Kleinhans
Florian Kuisle
Patricius Albu
Christine Fritz-Kuisle
Mark Dominik Alscher
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2017
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-017-0488-3

Other articles of this Issue 1/2017

BMC Medical Informatics and Decision Making 1/2017 Go to the issue

Research article

Experimental application of Business Process Management technology to manage clinical pathways: a pediatric kidney transplantation follow up case

Research article

Decision aids for second-line palliative chemotherapy: a randomised phase II multicentre trial

Research article

HealthRecSys: A semantic content-based recommender system to complement health videos

Research article

The challenges of emerging HISs in bridging the communication gaps among physicians and nurses in China: an interview study

Research article

Advancing beyond the system: telemedicine nurses’ clinical reasoning using a computerised decision support system for patients with COPD – an ethnographic study

Research Article

A Bayesian network and heuristic approach for systematic characterization of radiotherapy receipt after breast-conservation surgery