Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder.

Abstract

Authors

• Corey J Hayes
  Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
• Nahiyan Bin Noor
  Institute for Digital Health and Innovation, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
• Rebecca A Raciborski
  Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA.
• Bradley C Martin
  Division of Pharmaceutical Evaluation and Policy, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
• Adam J Gordon
  Program for Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA.
• Katherine J Hoggatt
  San Francisco VA Medical Center, San Francisco, CA, USA.
• Teresa Hudson
  Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA.
• Michael A Cucciare
  Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA.

Keywords

External Resources