Predicting opioid use disorder before and after the opioid prescribing peak in the United States: A machine learning tool using electronic healthcare records

Existing predictive models of opioid use disorder (OUD) may change as the rate of opioid prescribing decreases. Using Veterans Administration’s EHR data, we developed machine-learning predictive models of new OUD diagnoses and ranked the importance of patient features based on their ability to predi...

Descripción completa

Detalles Bibliográficos
Autores principales: Banks, Tyler J, Nguyen, Tung D, Uhlmann, Jeffery K, Nair, Satish S, Scherrer, Jeffrey F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158959/
https://www.ncbi.nlm.nih.gov/pubmed/37042333
http://dx.doi.org/10.1177/14604582231168826

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158959/
https://www.ncbi.nlm.nih.gov/pubmed/37042333
http://dx.doi.org/10.1177/14604582231168826

Ejemplares similares