Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study

BACKGROUND: Little is known about whether machine-learning algorithms developed to predict opioid overdose using earlier years and from a single state will perform as well when applied to other populations. We aimed to develop a machine-learning algorithm to predict 3-month risk of opioid overdose u...

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Detalles Bibliográficos
Autores principales: Lo-Ciganic, Wei-Hsuan, Donohue, Julie M, Yang, Qingnan, Huang, James L, Chang, Ching-Yuan, Weiss, Jeremy C, Guo, Jingchuan, Zhang, Hao H, Cochran, Gerald, Gordon, Adam J, Malone, Daniel C, Kwoh, Chian K, Wilson, Debbie L, Kuza, Courtney C, Gellad, Walid F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236281/
https://www.ncbi.nlm.nih.gov/pubmed/35623798
http://dx.doi.org/10.1016/S2589-7500(22)00062-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236281/
https://www.ncbi.nlm.nih.gov/pubmed/35623798
http://dx.doi.org/10.1016/S2589-7500(22)00062-0

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