Predicting Hospital Readmission in Heart Failure Patients in Iran: A Comparison of Various Machine Learning Methods

OBJECTIVES: Heart failure (HF) is a common disease with a high hospital readmission rate. This study considered class imbalance and missing data, which are two common issues in medical data. The current study’s main goal was to compare the performance of six machine learning (ML) methods for predict...

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Detalles Bibliográficos
Autores principales: Najafi-Vosough, Roya, Faradmal, Javad, Hosseini, Seyed Kianoosh, Moghimbeigi, Abbas, Mahjub, Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654329/
https://www.ncbi.nlm.nih.gov/pubmed/34788911
http://dx.doi.org/10.4258/hir.2021.27.4.307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654329/
https://www.ncbi.nlm.nih.gov/pubmed/34788911
http://dx.doi.org/10.4258/hir.2021.27.4.307

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