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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Bibliografski detalji
Izdano u:JAMA Netw Open
Glavni autori: 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.
Format: Artigo
Jezik:Inglês
Izdano: American Medical Association 2019
Teme:
Original Investigation
Online pristup: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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