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

• Main Authors: Zvi Segal (Author), Kira Radinsky (Author), Guy Elad (Author), Gal Marom (Author), Moran Beladev (Author), Maor Lewis (Author), Bar Ehrenberg (Author), Plia Gillis (Author), Liat Korn (Author), Gideon Koren (Author)
• Format: Book
• Published: Wiley, 2020-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract 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 method...