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

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. Design/method We searched PubMed and Google Scholar for papers on deep learning studies using EHR data published...