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

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

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© 2019 The Author(s). 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...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Oxford University Press (OUP) 2021
Online Access:https://hdl.handle.net/1721.1/134057

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https://hdl.handle.net/1721.1/134057

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