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Using machine learning to identify health outcomes from electronic health record data

PURPOSE OF REVIEW: Electronic health records (EHRs) contain valuable data for identifying health outcomes, but these data also present numerous challenges when creating computable phenotyping algorithms. Machine learning methods could help with some of these challenges. In this review, we discuss fo...

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Библиографические подробности
Опубликовано в: :Curr Epidemiol Rep
Главные авторы: Wong, Jenna, Horwitz, Mara Murray, Zhou, Li, Toh, Sengwee
Формат: Artigo
Язык:Inglês
Опубликовано: 2018
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6289196/
https://ncbi.nlm.nih.gov/pubmed/30555773
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40471-018-0165-9
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