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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Bibliografiske detaljer
Udgivet i:Pharmacol Res Perspect
Main Authors: Segal, Zvi, Radinsky, Kira, Elad, Guy, Marom, Gal, Beladev, Moran, Lewis, Maor, Ehrenberg, Bar, Gillis, Plia, Korn, Liat, Koren, Gideon
Format: Artigo
Sprog:Inglês
Udgivet: John Wiley and Sons Inc. 2020
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Original Articles
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7670130/
https://ncbi.nlm.nih.gov/pubmed/33200572
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/prp2.669
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