Safe opioid prescribing: a prognostic machine learning approach to predicting 30-day risk after an opioid dispensation in Alberta, Canada

OBJECTIVE: To develop machine learning models employing administrative health data that can estimate risk of adverse outcomes within 30 days of an opioid dispensation for use by health departments or prescription monitoring programmes. DESIGN, SETTING AND PARTICIPANTS: This prognostic study was cond...

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Detalles Bibliográficos
Autores principales: Sharma, Vishal, Kulkarni, Vinaykumar, Eurich, Dean T, Kumar, Luke, Samanani, Salim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160164/
https://www.ncbi.nlm.nih.gov/pubmed/34039572
http://dx.doi.org/10.1136/bmjopen-2020-043964

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160164/
https://www.ncbi.nlm.nih.gov/pubmed/34039572
http://dx.doi.org/10.1136/bmjopen-2020-043964

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