Comparing Machine Learning Classifiers for Predicting Hospital Readmission of Heart Failure Patients in Rwanda

High rates of hospital readmission and the cost of treating heart failure (HF) are significant public health issues globally and in Rwanda. Using machine learning (ML) to predict which patients are at high risk for HF hospital readmission 20 days after their discharge has the potential to improve HF...

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Detalles Bibliográficos
Autores principales: Rizinde, Theogene, Ngaruye, Innocent, Cahill, Nathan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532623/
https://www.ncbi.nlm.nih.gov/pubmed/37763160
http://dx.doi.org/10.3390/jpm13091393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532623/
https://www.ncbi.nlm.nih.gov/pubmed/37763160
http://dx.doi.org/10.3390/jpm13091393

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