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