Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies

Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies

Abstract Chronic Kidney Disease (CKD) represents a slowly progressive disorder that is typically silent until late stages, but early intervention can significantly delay its progression. We designed a portable and scalable electronic CKD phenotype to facilitate early disease recognition and empower...

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Main Authors: Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carrol, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Computer applications to medicine. Medical informatics
R858-859.7
Online Access:https://doaj.org/article/24b3c498eb59459db6ee0b4a55ddf3e3
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https://doaj.org/article/24b3c498eb59459db6ee0b4a55ddf3e3

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