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. 2022 Jun 6:290:1060-1061.
doi: 10.3233/SHTI220267.

Bottom-Up Natural Language Processing Based Evaluation of the Fitness of UMLS as a Semantic Source for a Computer Interpretable Guidelines Ontology

George Despotou  1 , Ioannis Korkontzelos  2 , Theodoros N Arvanitis  1
Affiliations

Bottom-Up Natural Language Processing Based Evaluation of the Fitness of UMLS as a Semantic Source for a Computer Interpretable Guidelines Ontology

George Despotou et al. Stud Health Technol Inform. .

Abstract

Background: CIGs languages consist of approach specific concepts. More widely used concepts, such as those in UMLS are not typically used.

Objective: An evaluation of UMLS concept sufficiency for CIG definition.

Method: A popular guideline is mapped to UMLS concepts with NLP. Results are reviewed to evaluate gaps, and appropriateness.

Results: A significant number of the guideline text mapped to UMLS concepts.

Conclusions: The approach has shown promise and highlighted further challenges.

Keywords: computer interpretable guidelines; knowledge representation; natural language processing; practice guideline.

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