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

Clinical Information and Decision Making (1407) Machine Learning (1465) Artificial Intelligence (1371) Decision Support for Health Professionals (1185) Electronic Health Records (1053)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24996, first published .
Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study

Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study

Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study

Authors of this article:

Haichen Lv1 Author Orcid Image ;   Xiaolei Yang1 Author Orcid Image ;   Bingyi Wang2 Author Orcid Image ;   Shaobo Wang3, 4 Author Orcid Image ;   Xiaoyan Du2 Author Orcid Image ;   Qian Tan5 Author Orcid Image ;   Zhujing Hao1 Author Orcid Image ;   Ying Liu1 Author Orcid Image ;   Jun Yan4 Author Orcid Image ;   Yunlong Xia1 Author Orcid Image
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