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](https://asset.jmir.pub/assets/9baa9fc629cbd19b5cf263205fb16ae4.png 480w,https://asset.jmir.pub/assets/9baa9fc629cbd19b5cf263205fb16ae4.png 960w,https://asset.jmir.pub/assets/9baa9fc629cbd19b5cf263205fb16ae4.png 1920w,https://asset.jmir.pub/assets/9baa9fc629cbd19b5cf263205fb16ae4.png 2500w)
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