Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death

BACKGROUND: The prediction of readmission or death after a hospital discharge for heart failure (HF) remains a major challenge. Modern healthcare systems, electronic health records, and machine learning (ML) techniques allow us to mine data to select the most significant variables (allowing for redu...

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Detalles Bibliográficos
Autores principales: Awan, Saqib E., Bennamoun, Mohammed, Sohel, Ferdous, Sanfilippo, Frank M., Chow, Benjamin J., Dwivedi, Girish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594617/
https://www.ncbi.nlm.nih.gov/pubmed/31242238
http://dx.doi.org/10.1371/journal.pone.0218760

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594617/
https://www.ncbi.nlm.nih.gov/pubmed/31242238
http://dx.doi.org/10.1371/journal.pone.0218760

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