Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study
Abstract BackgroundPatients with heart failure frequently face the possibility of rehospitalization following an initial hospital stay, placing a significant burden on both patients and health care systems. Accurate predictive tools are crucial for guiding clinical decision-ma...
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Main Authors: | Xiangkui Jiang, Bingquan Wang |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2024-12-01
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Series: | JMIR Medical Informatics |
Online Access: | https://medinform.jmir.org/2024/1/e58812 |
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