A machine learning approach to identify distinct subgroups of veterans at risk for hospitalization or death using administrative and electronic health record data.

A machine learning approach to identify distinct subgroups of veterans at risk for hospitalization or death using administrative and electronic health record data.

<h4>Background</h4>Identifying individuals at risk for future hospitalization or death has been a major priority of population health management strategies. High-risk individuals are a heterogeneous group, and existing studies describing heterogeneity in high-risk individuals have been l...

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Bibliographic Details
Main Authors: Ravi B Parikh, Kristin A Linn, Jiali Yan, Matthew L Maciejewski, Ann-Marie Rosland, Kevin G Volpp, Peter W Groeneveld, Amol S Navathe
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0247203

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