Development and Validation of a Machine Learning Model to Estimate Risk of Adverse Outcomes Within 30 Days of Opioid Dispensation

IMPORTANCE: Machine learning approaches can assist opioid stewardship by identifying high-risk opioid prescribing for potential interventions. OBJECTIVE: To develop a machine learning model for deployment that can estimate the risk of adverse outcomes within 30 days of an opioid dispensation as a po...

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Detalles Bibliográficos
Autores principales: Sharma, Vishal, Kulkarni, Vinaykumar, Jess, Ed, Gilani, Fizza, Eurich, Dean, Simpson, Scot H., Voaklander, Don, Semenchuk, Michael, London, Connor, Samanani, Salim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857580/
https://www.ncbi.nlm.nih.gov/pubmed/36574245
http://dx.doi.org/10.1001/jamanetworkopen.2022.48559

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857580/
https://www.ncbi.nlm.nih.gov/pubmed/36574245
http://dx.doi.org/10.1001/jamanetworkopen.2022.48559

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