Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study.

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Title: Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study.
Authors: Faysal JA; Department of Pharmaceutical Outcomes & Policy, University of Florida, 1889 Museum Road, Malachowsky Hall, Suite 6300, Gainesville, FL, 32611, United States, 12566946603.; Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh., Lo-Ciganic W; Division of General Internal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.; Center for Pharmaceutical Policy and Prescribing, University of Pittsburgh, Pittsburgh, PA, United States.; Geriatric Research Education and Clinical Center, North Florida/South Georgia Veterans Health System, Gainesville, FL, United States., Gellad WF; Division of General Internal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.; Center for Pharmaceutical Policy and Prescribing, University of Pittsburgh, Pittsburgh, PA, United States., Wu Y; Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States., Harle CA; Department of Health Policy and Management, School of Public Health, Indiana University, Indianapolis, IN, United States.; Regenstrief Institute, Indianapolis, IN, United States., Nguyen K; Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, United States., Huang JL; Department of Pharmaceutical Outcomes & Policy, University of Florida, 1889 Museum Road, Malachowsky Hall, Suite 6300, Gainesville, FL, 32611, United States, 12566946603., Cochran G; Department of Internal Medicine, Division of Epidemiology, University of Utah, Salt Lake City, UT, United States., Wilson DL; Department of Pharmaceutical Outcomes & Policy, University of Florida, 1889 Museum Road, Malachowsky Hall, Suite 6300, Gainesville, FL, 32611, United States, 12566946603., Staras SA; Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States., Schmidt SO; Department of Community Health and Family Medicine, College of Medicine, University of Florida, Gainesville, FL, United States., Rosenberg EI; Department of Pharmaceutical Outcomes & Policy, University of Florida, 1889 Museum Road, Malachowsky Hall, Suite 6300, Gainesville, FL, 32611, United States, 12566946603.; Department of Internal Medicine, College of Medicine, University of Florida, Gainesville, FL, United States., Nelson D; Department of Community Health and Family Medicine, College of Medicine, University of Florida, Gainesville, FL, United States., Yan S; Department of Pharmaceutical Outcomes & Policy, University of Florida, 1889 Museum Road, Malachowsky Hall, Suite 6300, Gainesville, FL, 32611, United States, 12566946603., Reisfield GM; Department of Pharmaceutical Outcomes & Policy, University of Florida, 1889 Museum Road, Malachowsky Hall, Suite 6300, Gainesville, FL, 32611, United States, 12566946603., Greene WM; Department of Psychiatry, College of Medicine, University of Florida, Gainesville, FL, United States., Kuza C; Center for Pharmaceutical Policy and Prescribing, University of Pittsburgh, Pittsburgh, PA, United States., Hasan MM; Department of Pharmaceutical Outcomes & Policy, University of Florida, 1889 Museum Road, Malachowsky Hall, Suite 6300, Gainesville, FL, 32611, United States, 12566946603.; Department of Information Systems and Operations Management, Warrington College of Business, University of Florida, Gainesville, FL, United States.
Source: Journal of medical Internet research [J Med Internet Res] 2026 Mar 05; Vol. 28, pp. e79482. Date of Electronic Publication: 2026 Mar 05.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1438-8871
DOI:10.2196/79482