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RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning

Anonymized electronic medical records are an increasingly popular source of research data. However, these datasets often lack race and ethnicity information. This creates problems for researchers modeling human disease, as race and ethnicity are powerful confounders for many health exposures and tre...

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Bibliografiske detaljer
Udgivet i:PLoS Comput Biol
Main Authors: Kim, Ji-Sung, Gao, Xin, Rzhetsky, Andrey
Format: Artigo
Sprog:Inglês
Udgivet: Public Library of Science 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5940243/
https://ncbi.nlm.nih.gov/pubmed/29698408
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006106
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