Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network.

ABSTRACT: The electronic Medical Records and Genomics (eMERGE) Network assessed the feasibility of deploying portable phenotype rule-based algorithms with natural language processing (NLP) components added to improve performance of existing algorithms using electronic health records (EHRs). Based on scientific merit and predicted difficulty, eMERGE selected six existing phenotypes to enhance with NLP. We assessed performance, portability, and ease of use. We summarized lessons learned by: (1) challenges; (2) best practices to address challenges based on existing evidence and/or eMERGE experience; and (3) opportunities for future research. Adding NLP resulted in improved, or the same, precision and/or recall for all but one algorithm. Portability, phenotyping workflow/process, and technology were maj

SUBMITTER: Pacheco JA 

PROVIDER: S-EPMC9898520 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature