Deep learning for electronic health records: A comparative review of multiple deep neural architectures-Reference-Cited by-同舟云学术

Deep learning for electronic health records: A comparative review of multiple deep neural architectures

Published:2020-01 Issue: Volume:101 Page:103337
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Ayala Solares Jose Roberto^ORCID,Diletta Raimondi Francesca Elisa,Zhu Yajie^ORCID,Rahimian Fatemeh,Canoy Dexter,Tran Jenny,Pinho Gomes Ana Catarina,Payberah Amir H.,Zottoli Mariagrazia,Nazarzadeh Milad^ORCID,Conrad Nathalie,Rahimi Kazem,Salimi-Khorshidi Gholamreza

Funder

Oxford Martin School

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference113 articles.

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5. Deep EHR: a survey of recent advances in deep learning techniques for Electronic Health Record (EHR) analysis;Shickel;IEEE J. Biomed. Health Inform.,2018

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