A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation Study

Tewodros Eguale   ^{1, 2 *} , MD, PhD ;   François Bastardot   ^{3, 4 *} , MSACI, MD ;   Wenyu Song   ^{2, 5} , PhD ;   Daniel Motta-Calderon   ⁶ , MD ;   Yasmin Elsobky   ^{2, 7} , BPharmSci, MSc ;   Angela Rui   ² , MA ;   Marlika Marceau   ⁸ , BA ;   Clark Davis   ² , BA ;   Sandya Ganesan   ² , BA ;   Ava Alsubai   ² , MA ;   Michele Matthews   ^{1, 9} , PharmD ;   Lynn A Volk   ⁸ , MHS ;   David W Bates   ^{2, 5, 8, 10} , MSc, MD ;   Ronen Rozenblum   ^{2, 5} , MPH, PhD

¹ School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences, Boston, MA, United States

² Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States

³ Innovation and Clinical Research Directorate, Lausanne University Hospital (CHUV), Lausanne, Switzerland

⁴ Medical Directorate, Lausanne University Hospital (CHUV), Lausanne, Switzerland

⁵ Harvard Medical School, Boston, MA, United States

⁶ Vanderbilt University, Nashville, TN, United States

⁷ Alexandria University, Alexandria, Egypt

⁸ Clinical Quality and IS Analysis, Mass General Brigham, Somerville, MA, United States

⁹ Department of Pharmacy, Brigham and Women's Hospital, Boston, MA, United States

¹⁰ Harvard TH Chan School of Public Health, Boston, MA, United States

*these authors contributed equally