Predicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach
- PMID: 38767029
- PMCID: PMC11103634
- DOI: 10.1002/clc.24280
Predicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach
Comment on
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Predicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach.Clin Cardiol. 2024 Feb;47(2):e24239. doi: 10.1002/clc.24239. Clin Cardiol. 2024. PMID: 38402566 Free PMC article.
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Utilizing machine learning for predicting heart failure outcomes: A path toward developing a patient-centered approach.Clin Cardiol. 2024 Mar;47(3):e24260. doi: 10.1002/clc.24260. Clin Cardiol. 2024. PMID: 38528717 Free PMC article. No abstract available.
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References
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- Angraal S, Mortazavi BJ, Gupta A, et al. Machine learning prediction of mortality and hospitalization in heart failure with preserved ejection fraction. JACC: Heart Failure. 2020;8(1):12‐21. - PubMed
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