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

Formative Evaluation of Digital Health Interventions (3606) Clinical Informatics (1509) Telehealth and Telemonitoring (2268) Decision Support for Health Professionals (1709) Machine Learning (2323) Heart Failure Self-Management (186) e-Cardiology and Telemonitoring in Cardiology (239)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41775, first published .
Doctor using tablet displaying digital health icons and data visualization.

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
Article Authors Cited by (22) Tweetations (5) Metrics

Boshu Ru   1 , PhD ;   Xi Tan   1 , PhD, PharmD ;   Yu Liu   1 , MS ;   Kartik Kannapur   2 , MS ;   Dheepan Ramanan   2 , BA ;   Garin Kessler   2, 3 , BA ;   Dominik Lautsch   1 , PhD ;   Gregg Fonarow   4 , MD

1 Merck & Co, Inc, Rahway, NJ, United States

2 Amazon Web Services Inc, Seattle, WA, United States

3 School of Continuing Studies, Georgetown University, Washington, DC, United States

4 Ahmanson-UCLA Cardiomyopathy Center, University of California, Los Angeles, Los Angeles, CA, United States

Corresponding Author:

  • Gregg Fonarow, MD
  • Ahmanson-UCLA Cardiomyopathy Center
  • University of California, Los Angeles
  • 10833 LeConte Avenue
  • Los Angeles, CA 90095
  • United States
  • Phone: 1 310-206-9112
  • Email: GFonarow@mednet.ucla.edu