Development of a machine learning algorithm for early detection of opioid use disorder

BACKGROUND: Opioid use disorder (OUD) affects an estimated 16 million people worldwide. The diagnosis of OUD is commonly delayed or missed altogether. We aimed to test the utility of machine learning in creating a prediction model and algorithm for early diagnosis of OUD. SUBJECTS AND METHODS: We an...

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Detalles Bibliográficos
Autores principales: Segal, Zvi, Radinsky, Kira, Elad, Guy, Marom, Gal, Beladev, Moran, Lewis, Maor, Ehrenberg, Bar, Gillis, Plia, Korn, Liat, Koren, Gideon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670130/
https://www.ncbi.nlm.nih.gov/pubmed/33200572
http://dx.doi.org/10.1002/prp2.669

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670130/
https://www.ncbi.nlm.nih.gov/pubmed/33200572
http://dx.doi.org/10.1002/prp2.669

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