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Medical diagnosis as a linguistic game.


ABSTRACT: We present a formalized medical knowledge system using a linguistic approach combined with a semantic net.Diseases are defined and coded by natural linguistic terms and linked via a complex network of attributes, categories, classes, lists and other semantic conditions.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.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.

SUBMITTER: Fritz P 

PROVIDER: S-EPMC5504712 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Medical diagnosis as a linguistic game.

Fritz Peter P   Kleinhans Andreas A   Kuisle Florian F   Albu Patricius P   Fritz-Kuisle Christine C   Alscher Mark Dominik MD  

BMC medical informatics and decision making 20170710 1


<h4>Background</h4>We present a formalized medical knowledge system using a linguistic approach combined with a semantic net.<h4>Method</h4>Diseases are defined and coded by natural linguistic terms and linked via a complex network of attributes, categories, classes, lists and other semantic conditions.<h4>Results</h4>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 sema  ...[more]

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