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

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

<h4>Background</h4>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...

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Bibliographic Details
Main Authors: Saqib E Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M Sanfilippo, Benjamin J Chow, Girish Dwivedi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0218760

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https://doi.org/10.1371/journal.pone.0218760

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