This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Machine Learning (1465) Visualization in eHealth (58) Heart Failure Self-Management (150)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20645, first published .
Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach

Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach

Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach

Authors of this article:

Rui Li1 Author Orcid Image ;   Changchang Yin1 Author Orcid Image ;   Samuel Yang1, 2 Author Orcid Image ;   Buyue Qian3 Author Orcid Image ;   Ping Zhang1 Author Orcid Image
Article Authors Cited by (23) Tweetations (8) Metrics

Rui Li   1 * , BS ;   Changchang Yin   1 * , MS ;   Samuel Yang   1, 2 , MD ;   Buyue Qian   3 , PhD ;   Ping Zhang   1 , PhD

1 The Ohio State University, Columbus, OH, United States

2 Nationwide Children's Hospital, Columbus, OH, United States

3 Xi'an Jiaotong University, Xi'an, China

*these authors contributed equally

Corresponding Author: