Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

IEEE Journal of Biomedical and Health Informatics

Volumn 22, Issue 5, 2018, Pages 1589-1604

  Shickel, Benjamin ^a   Tighe, Patrick James ^b   Bihorac, Azra ^b   Rashidi, Parisa ^c  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

^b UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

Clinical informatics; deep learning; electronic health records; machine learning; survey

Indexed keywords

CLINICAL RESEARCH; E-LEARNING; EHEALTH; LEARNING SYSTEMS; RECORDS MANAGEMENT; SURVEYING; SURVEYS;

CLINICAL APPLICATION; CLINICAL INFORMATICS; DIGITAL INFORMATION; ELECTRONIC HEALTH RECORD; ELECTRONIC HEALTH RECORD (EHRS); LEARNING TECHNIQUES; MACHINE LEARNING COMMUNITIES; PATIENT INFORMATION;

DEEP LEARNING;

DIAGNOSTIC IMAGING; ELECTRONIC HEALTH RECORD; ELECTRONIC MEDICAL RECORD; EXTRACTION; HUMAN; INFORMATION SCIENCE; MACHINE LEARNING; PHENOTYPE; PREDICTION;

DEEP LEARNING; ELECTRONIC HEALTH RECORDS; HUMANS;

EID: 85032736236     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2017.2767063     Document Type: Article

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