Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions

IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target many patients who are not truly at high risk. OBJECTIVE: To develop and validate a machine-learning algorithm to predict opioid overdose risk among Medicare beneficiaries with at least 1 opioid prescrip...

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Detalles Bibliográficos
Publicado en:JAMA Netw Open
Autores principales: Lo-Ciganic, Wei-Hsuan, Huang, James L., Zhang, Hao H., Weiss, Jeremy C., Wu, Yonghui, Kwoh, C. Kent, Donohue, Julie M., Cochran, Gerald, Gordon, Adam J., Malone, Daniel C., Kuza, Courtney C., Gellad, Walid F.
Formato: Artigo
Lenguaje:Inglês
Publicado: American Medical Association 2019
Materias:
Original Investigation
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6583312/
https://ncbi.nlm.nih.gov/pubmed/30901048
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2019.0968
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