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IOS Press, Studies in Health Technology and Informatics, 2022

DOI: 10.3233/shti220267

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

Proceedings article published in 2022 by George Despotou ORCID, Ioannis Korkontzelos, Theodoros N. Arvanitis ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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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.