CrossRef Text and Data Mining
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Predicting Hospital Readmission in Heart Failure Patients in Iran: A Comparison of Various Machine Learning Methods
Roya Najafi-Vosough, Javad Faradmal, Seyed Kianoosh Hosseini, Abbas Moghimbeigi, Hossein Mahjub
Healthc Inform Res. 2021;27(4):307-314.   Published online October 31, 2021
DOI: https://doi.org/10.4258/hir.2021.27.4.307

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Predicting Hospital Readmission in Heart Failure Patients in Iran: A Comparison of Various Machine Learning Methods
Healthcare Informatics Research. 2021;27(4):307-314   Crossref logo
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Invasive, Non‐Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure
Predicting Heart Failure. 2022;1-22   Crossref logo
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Applications of Machine Learning for Predicting Heart Failure
Predicting Heart Failure. 2022;171-188   Crossref logo
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Frontmatter
Predicting Heart Failure. 2022;   Crossref logo
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Index
Predicting Heart Failure. 2022;321-325   Crossref logo
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Machine learning and statistical methods for predicting mortality in heart failure
Heart Failure Reviews. 2020;26(3):545-552   Crossref logo
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Predicting Hospital Readmission of Diabetic Patients Using Machine Learning
Frontiers in Health Informatics. 2021;10(1):74   Crossref logo
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Predicting all-cause 90-day hospital readmission for dental patients using machine learning methods
BDJ Open. 2021;7(1):   Crossref logo
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Machine Learning Techniques for Predicting and Managing Heart Failure
Predicting Heart Failure. 2022;189-226   Crossref logo
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Risk Stratification for Hospital Readmission of Heart Failure Patients
Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. 2016;   Crossref logo
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