High-throughput multimodal automated phenotyping (MAP) with application to PheWAS

OBJECTIVE: Electronic health records linked with biorepositories are a powerful platform for translational studies. A major bottleneck exists in the ability to phenotype patients accurately and efficiently. The objective of this study was to develop an automated high-throughput phenotyping method in...

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Detalles Bibliográficos
Publicado en:J Am Med Inform Assoc
Autores principales: Liao, Katherine P, Sun, Jiehuan, Cai, Tianrun A, Link, Nicholas, Hong, Chuan, Huang, Jie, Huffman, Jennifer E, Gronsbell, Jessica, Zhang, Yichi, Ho, Yuk-Lam, Castro, Victor, Gainer, Vivian, Murphy, Shawn N, O’Donnell, Christopher J, Gaziano, J Michael, Cho, Kelly, Szolovits, Peter, Kohane, Isaac S, Yu, Sheng, Cai, Tianxi
Formato: Artigo
Lenguaje:Inglês
Publicado: Oxford University Press 2019
Materias:
Research and Applications
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6798574/
https://ncbi.nlm.nih.gov/pubmed/31613361
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz066
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