Impact of Diverse Data Sources on Computational Phenotyping

Impact of Diverse Data Sources on Computational Phenotyping

Electronic health records (EHRs) are widely adopted with a great potential to serve as a rich, integrated source of phenotype information. Computational phenotyping, which extracts phenotypes from EHR data automatically, can accelerate the adoption and utilization of phenotype-driven efforts to adva...

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Bibliographic Details
Main Authors: Liwei Wang, Janet E. Olson, Suzette J. Bielinski, Jennifer L. St. Sauver, Sunyang Fu, Huan He, Mine S. Cicek, Matthew A. Hathcock, James R. Cerhan, Hongfang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Genetics
Subjects:
phenotyping algorithms
computational phenotyping
rheumatoid arthritis
type 2 diabetes mellitus
diverse data sources
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00556/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2020.00556/full

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