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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Dettagli Bibliografici
Pubblicato in:JAMA Netw Open
Autori principali: 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.
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Medical Association 2019
Soggetti:
Original Investigation
Accesso online: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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