Knowledge Base Prototype Creating with Using Interdisciplinary Metathesaurus.

Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-

Unified Medical Language System* ; Electronic Health Records* ; Knowledge Bases*; Decision Support Systems, Clinical ; Natural Language Processing ; Humans ; Russia ; Vocabulary, Controlled

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.

Keywords: Knowledge Base; MIMIC-IV; Named Entity Recognition (NER); Ontological Modeling; RWD; RWE; SemMedDB; UMLS

Date Created: 20240823 Date Completed: 20240823 Latest Revision: 20240823

20240823

10.3233/SHTI240695

39176485