| Autor: |
Astanin PA; Pirogov Russian National Research Medical University, Russia., Ronzhin LV; Pirogov Russian National Research Medical University, Russia., Borisov AA; Pirogov Russian National Research Medical University, Russia., Usova AV; Pirogov Russian National Research Medical University, Russia., Potapova II; Pirogov Russian National Research Medical University, Russia., Budykina AV; Pirogov Russian National Research Medical University, Russia. |
| Jazyk: |
angličtina |
| Zdroj: |
Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 1487-1491. |
| DOI: |
10.3233/SHTI240695 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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