Predictive Performance of Machine Learning Models for Heart Failure Readmission: A Systematic Review.

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Title: Predictive Performance of Machine Learning Models for Heart Failure Readmission: A Systematic Review.
Authors: Alnomasy N; Medical Surgical Department, College of Nursing, University of Hail, Ha'il 81451, Saudi Arabia., Pangket P; Medical Surgical Department, College of Nursing, Taif University, Taif 21944, Saudi Arabia., Mostoles R Jr; Mental Health Nursing Department, College of Nursing, University of Hail, Ha'il 81451, Saudi Arabia., Alrashedi H; Medical Surgical Department, College of Nursing, University of Hail, Ha'il 81451, Saudi Arabia., Pasay-An E; Medical Surgical Department, College of Nursing, King Khalid University, Abha 61421, Saudi Arabia., Cho H; College of Nursing, University of Florida, Gainesville, FL 32610, USA., Alsayed S; College of Nursing-Jeddah, King Saud bin Abdulaziz University for Health Sciences, Jeddah 21423, Saudi Arabia., Gonzales A; Nursing Administration and Education Department, College of Nursing, University of Tabuk, Tabuk 47311, Saudi Arabia., Alharbi AAM; Nursing Administration and Education Department, College of Nursing, University of Tabuk, Tabuk 47311, Saudi Arabia., Alatawi NAH; Nursing Administration and Education Department, College of Nursing, University of Tabuk, Tabuk 47311, Saudi Arabia., Torres S; Medical Surgical Department, College of Nursing, University of Hail, Ha'il 81451, Saudi Arabia., Abudawood K; College of Nursing-Jeddah, King Saud bin Abdulaziz University for Health Sciences, Jeddah 21423, Saudi Arabia., Alamoudi FA; Medical Surgical Nursing Department, Prince Sultan Military College of Health Sciences, Dhahran 34313, Saudi Arabia.
Source: Biomedicines [Biomedicines] 2025 Aug 29; Vol. 13 (9). Date of Electronic Publication: 2025 Aug 29.
Publication Type: Journal Article; Review
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101691304 Publication Model: Electronic Cited Medium: Print ISSN: 2227-9059 (Print) Linking ISSN: 22279059 NLM ISO Abbreviation: Biomedicines Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2227-9059
DOI:10.3390/biomedicines13092111