Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Oct 1, 2018

Abstract

OBJECTIVE: To conduct a systematic review of deep learning models for electronic health record (EHR) data, and illustrate various deep learning architectures for analyzing different data sources and their target applications. We also highlight ongoing research and identify open challenges in building deep learning models of EHRs.

Authors

  • Cao Xiao
    University of Washington, Department of Industrial and Systems Engineering, Seattle, USA.
  • Edward Choi
    College of Computing Georgia Institute of Technology Atlanta, GA, USA.
  • Jimeng Sun
    College of Computing Georgia Institute of Technology Atlanta, GA, USA.

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