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

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.