Medical diagnosis as a linguistic game
| Autor: | Patricius Albu, Mark Dominik Alscher, Andreas Kleinhans, Florian Kuisle, Christine Fritz-Kuisle, Peter Fritz |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Computer science Knowledge Bases Health Informatics computer.software_genre lcsh:Computer applications to medicine. Medical informatics Health informatics Set (abstract data type) 03 medical and health sciences 0302 clinical medicine Medical data base Terminology as Topic Natural (music) Humans 030212 general & internal medicine Medical Informatics Applications Medical diagnosis business.industry Health Policy Linguistic game Complex network Net (mathematics) Linguistics Computer Science Applications 030104 developmental biology Proof of concept lcsh:R858-859.7 Formalized medical knowledge Artificial intelligence business computer Natural language processing Word (computer architecture) Disease entity Research Article |
| Zdroj: | BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-11 (2017) BMC Medical Informatics and Decision Making |
| ISSN: | 1472-6947 |
| DOI: | 10.1186/s12911-017-0488-3 |
| Popis: | 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. Electronic supplementary material The online version of this article (doi:10.1186/s12911-017-0488-3) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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