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
Main Authors: 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
Idioma:Inglês
Publicado: American Medical Association 2019
Assuntos:
Original Investigation
Acceso en liña: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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