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

George Despotou, Ioannis Korkontzelos, Theodoros Arvanitis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationMEDINFO 2021
Subtitle of host publicationOne World, One Health – Global Partnership for Digital Innovation
EditorsPaula Otero, Philip Scott, Susan Z. Martin, Elaine Huesing
PublisherIOS Press
Pages1060-1061
Number of pages2
ISBN (Electronic)9781643682655
ISBN (Print)9781643682648
DOIs
Publication statusPublished - 6 Jun 2022
EventMEDINFO 2021: One World, One Health: Global Partnership for Digital Innovation - Virtual
Duration: 2 Oct 20214 Oct 2021

Publication series

NameStudies in Health Technology and Informatics
Volume290
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferenceMEDINFO 2021
Period2/10/214/10/21

Keywords

  • natural language processing
  • knowledge representation
  • practice guideline
  • computer interpretable guidelines

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