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

Decision Support for Health Professionals (2249) Clinical Information and Decision Making (3730) New Methods (1802) Machine Learning (3200) Heart Failure Self-Management (213) Cardiac Disease Management (199) Cardiac Risk and Cardiac Risk Calculators (174) Computer-Aided Diagnosis (427)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58812, first published .
Nurse shows elderly patient a diagram of a human heart on a tablet.

Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study

Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study

Authors of this article:

Xiangkui Jiang1 Author Orcid Image ;   Bingquan Wang1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

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