Structuring Clinical Trial Eligibility Criteria with the Common Data Model
نویسندگان
چکیده
This paper presents a method for classifying and structuring free-text clinical trial eligibility criteria using the OMOP Common Data Model (CDM). Our method was applied to eligibility criteria text available from the largest clinical trial repository ClinicalTrials.gov. Structurally complex criteria were simplified and rewritten as simpler sentences connected by logical operators: AND or OR. Semantic annotation, using the Unified Medical Language System (UMLS) and other support semantics, was performed before criteria were clustered into groups, which were further classified into selected CDM domain categories according to the semantic type combination patterns in each cluster. Key criteria attributes were then extracted and annotated using the OMOP CDM.
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