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Stud Health Technol Inform ; 316: 1487-1491, 2024 Aug 22.
Article in English | MEDLINE | ID: mdl-39176485

ABSTRACT

This article presents our experience in development an ontological model can be used in clinical decision support systems (CDSS) creating. We have used the largest international biomedical terminological metathesaurus the Unified Medical Language System (UMLS) as the basis of our model. This metathesaurus has been adapted into Russian using an automated hybrid translation system with expert control. The product we have created was named as the National Unified Terminological System (NUTS). We have added more than 33 million scientific and clinical relationships between NUTS terms, extracted from the texts of scientific articles and electronic health records. We have also computed weights for each relationship, standardized their values and created symptom checker in preliminary diagnostics based on this. We expect, that the NUTS allow solving task of named entity recognition (NER) and increasing terms interoperability in different CDSS.


Subject(s)
Electronic Health Records , Knowledge Bases , Unified Medical Language System , Decision Support Systems, Clinical , Natural Language Processing , Humans , Russia , Vocabulary, Controlled
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