Advanced models for improved prediction of opioid-related overdose and suicide events among Veterans using administrative healthcare data

Veterans suffer disproportionate health impacts from the opioid epidemic, including overdose, suicide, and death. Prediction models based on electronic medical record data can be powerful tools for identifying patients at greatest risk of such outcomes. The Veterans Health Administration implemented...

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Detalles Bibliográficos
Autores principales: Ward, Ralph, Weeda, Erin, Taber, David J., Axon, Robert Neal, Gebregziabher, Mulugeta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561350/
https://www.ncbi.nlm.nih.gov/pubmed/34744496
http://dx.doi.org/10.1007/s10742-021-00263-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561350/
https://www.ncbi.nlm.nih.gov/pubmed/34744496
http://dx.doi.org/10.1007/s10742-021-00263-7

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