Article
RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning.
PLoS computational biology - 1 Apr 2018
Kim Ji-Sung, Gao Xin, Rzhetsky Andrey
Abstract excerpt
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 treatment outcomes; race and ethnicity are closely linked to population-specific genetic variation. We showed that deep...
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