Affiliation:
1. Department of Biomedical Informatics, Columbia University, New York, NY, USA
Abstract
2,719 distinctive phenotyping variables from 176 electronic phenotypes were compared with 57,150 distinctive clinical trial eligibility criteria concepts to assess the phenotype knowledge overlap between them. We observed a high percentage (69.5%) of eMERGE phenotype features and a lower percentage (47.6%) of OHDSI phenotype features matched to clinical trial eligibility criteria, possibly due to the relative emphasis on specificity for eMERGE phenotypes and the relative emphasis on sensitivity for OHDSI phenotypes. The study results show the potential of reusing clinical trial eligibility criteria for phenotyping feature selection and moderate benefits of using them for local cohort query implementation.
Cited by
4 articles.
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