Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53625, first published .
A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation Study

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

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

Journals

  1. Jantzen A, Hall S, Lai B, Cunningham J, Odell L. Identification of patients on chronic prescription opioids at risk for opioid use disorder using pharmacy claims data. Journal of Healthcare Risk Management 2024;44(2):14 View
  2. Amer M, Gittins R, Millana A, Scheibein F, Ferri M, Tofighi B, Sullivan F, Handley M, Ghosh M, Baldacchino A, Tay Wee Teck J. Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?. Journal of Medical Internet Research 2025;27:e58723 View

Conference Proceedings

  1. Nordin N, Razak A, Shariff K, Azizan A. 2025 21st IEEE International Colloquium on Signal Processing & Its Applications (CSPA). Machine Learning-Based Exploratory Analysis of Fall Risk Classification in Older Adults View