MISSING DATA IMPUTATION IN THE ELECTRONIC HEALTH RECORD USING DEEPLY LEARNED AUTOENCODERS()

Electronic health records (EHRs) have become a vital source of patient outcome data but the widespread prevalence of missing data presents a major challenge. Different causes of missing data in the EHR data may introduce unintentional bias. Here, we compare the effectiveness of popular multiple impu...

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Publicado en:Pac Symp Biocomput
Main Authors: BEAULIEU-JONES, BRETT K., MOORE, JASON H.
Formato: Artigo
Idioma:Inglês
Publicado: 2016
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5144587/
https://ncbi.nlm.nih.gov/pubmed/27896976
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