Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45434, first published .
An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study

An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study

An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study

A B M Rezbaul Islam   1 , BSc, MSc, PhD ;   Khalid M Khan   2 , MSc, DrPH ;   Amanda Scarbrough   2 , BSc, MSc, PhD ;   Mariah Jade Zimpfer   2 , PhD ;   Navya Makkena   1 , BSc ;   Adebola Omogunwa   2 , MPH, MD ;   Sheikh Iqbal Ahamed   3 , BSc, PhD

1 Department of Computer Science, Sam Houston State University, Huntsville, TX, United States

2 Department of Public Health, Sam Houston State University, Huntsville, TX, United States

3 Department of Computer Science, Marquette University, Milwaukee, WI, United States

Corresponding Author:

  • A B M Rezbaul Islam, BSc, MSc, PhD
  • Department of Computer Science
  • Sam Houston State University
  • 1803 Avenue I AB1
  • Room 214
  • Huntsville, TX, 77341
  • United States
  • Phone: 1 936294 ext 4198
  • Email: ari014@shsu.edu