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

Formative Evaluation of Digital Health Interventions (2410) Heart Failure Self-Management (150) Machine Learning (1465) Telehealth and Telemonitoring (1671) e-Cardiology and Telemonitoring in Cardiology (166) Decision Support for Health Professionals (1185) Clinical Informatics (1022)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41775, first published .
Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study

Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study

Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study

Authors of this article:

Boshu Ru1 Author Orcid Image ;   Xi Tan1 Author Orcid Image ;   Yu Liu1 Author Orcid Image ;   Kartik Kannapur2 Author Orcid Image ;   Dheepan Ramanan2 Author Orcid Image ;   Garin Kessler2, 3 Author Orcid Image ;   Dominik Lautsch1 Author Orcid Image ;   Gregg Fonarow4 Author Orcid Image
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