Machine Learning Models Applied to Opioid Use Disorder Treatment Research
A recent paper, “Self-Help Groups and Opioid Use Disorder Treatment: An Investigation Using a Machine Learning-Assisted Robust Causal Inference Framework,” by MIE Associate Professor Muhammad Noor E Alam and his research team, with first authorship by team member Shail Shikalgar, PhD’25, was published in the International Journal of Medical Informatics and featured in the The ASAM Weekly, a newsletter of the American Society of Addiction Medicine.
Abstract Source: ScienceDirect
This study investigates the impact of participation in self-help groups on treatment completion among individuals undergoing medication for opioid use disorder (MOUD) treatment. Given the suboptimal adherence and retention rates for MOUD, this research seeks to examine the association between treatment completion and patient-level factors. Specifically, we evaluated the causal relationship between self-help group participation and treatment completion for patients undergoing MOUD.