This paper is in the following e-collection/theme issue:

Foundations of AI (47) Artificial Intelligence (1371)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55820, first published .
Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness-Aware Machine Learning Framework

Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness-Aware Machine Learning Framework

Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness-Aware Machine Learning Framework

Authors of this article:

Mohammad Yaseliani1 Author Orcid Image ;   Md Noor-E-Alam2, 3 Author Orcid Image ;   Md Mahmudul Hasan1, 4 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Mohammad Yaseliani   1 , MSc ;   Md Noor-E-Alam   2, 3 , PhD ;   Md Mahmudul Hasan   1, 4 , PhD

1 Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, United States

2 Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, United States

3 The Institute for Experiential AI, Northeastern University, Boston, MA, United States

4 Department of Information Systems and Operations Management, Warrington College of Business, University of Florida, Gainesville, FL, United States

Corresponding Author:

  • Md Mahmudul Hasan, PhD
  • Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida
  • Malachowsky Hall for Data Science & Information Technology, Suite 6300
  • 1889 Museum Rd
  • Gainesville, FL, 32611
  • United States
  • Phone: 1 352 273 6276
  • Email: hasan.mdmahmudul@ufl.edu