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

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 scientifi...

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Detalles Bibliográficos
Autores principales: Pacheco, Jennifer A., Rasmussen, Luke V., Wiley, Ken, Person, Thomas Nate, Cronkite, David J., Sohn, Sunghwan, Murphy, Shawn, Gundelach, Justin H., Gainer, Vivian, Castro, Victor M., Liu, Cong, Mentch, Frank, Lingren, Todd, Sundaresan, Agnes S., Eickelberg, Garrett, Willis, Valerie, Furmanchuk, Al’ona, Patel, Roshan, Carrell, David S., Deng, Yu, Walton, Nephi, Satterfield, Benjamin A., Kullo, Iftikhar J., Dikilitas, Ozan, Smith, Joshua C., Peterson, Josh F., Shang, Ning, Kiryluk, Krzysztof, Ni, Yizhao, Li, Yikuan, Nadkarni, Girish N., Rosenthal, Elisabeth A., Walunas, Theresa L., Williams, Marc S., Karlson, Elizabeth W., Linder, Jodell E., Luo, Yuan, Weng, Chunhua, Wei, WeiQi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898520/
https://www.ncbi.nlm.nih.gov/pubmed/36737471
http://dx.doi.org/10.1038/s41598-023-27481-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898520/
https://www.ncbi.nlm.nih.gov/pubmed/36737471
http://dx.doi.org/10.1038/s41598-023-27481-y

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