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

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...

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Bibliographic Details
Main Authors: Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley, Thomas Nate Person, David J. Cronkite, Sunghwan Sohn, Shawn Murphy, Justin H. Gundelach, Vivian Gainer, Victor M. Castro, Cong Liu, Frank Mentch, Todd Lingren, Agnes S. Sundaresan, Garrett Eickelberg, Valerie Willis, Al’ona Furmanchuk, Roshan Patel, David S. Carrell, Yu Deng, Nephi Walton, Benjamin A. Satterfield, Iftikhar J. Kullo, Ozan Dikilitas, Joshua C. Smith, Josh F. Peterson, Ning Shang, Krzysztof Kiryluk, Yizhao Ni, Yikuan Li, Girish N. Nadkarni, Elisabeth A. Rosenthal, Theresa L. Walunas, Marc S. Williams, Elizabeth W. Karlson, Jodell E. Linder, Yuan Luo, Chunhua Weng, WeiQi Wei
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-27481-y

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https://doi.org/10.1038/s41598-023-27481-y

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