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

BACKGROUND: 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 limited by data focu...

Descripción completa

Detalles Bibliográficos
Autores principales: Parikh, Ravi B., Linn, Kristin A., Yan, Jiali, Maciejewski, Matthew L., Rosland, Ann-Marie, Volpp, Kevin G., Groeneveld, Peter W., Navathe, Amol S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894856/
https://www.ncbi.nlm.nih.gov/pubmed/33606819
http://dx.doi.org/10.1371/journal.pone.0247203

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894856/
https://www.ncbi.nlm.nih.gov/pubmed/33606819
http://dx.doi.org/10.1371/journal.pone.0247203

Ejemplares similares