Machine Learning for Proactive Opioid Misuse Prevention: A Supply Chain  Approach

Badal Shah

Machine Learning for Proactive Opioid Misuse Prevention: A Supply Chain Approach

Authors

Badal Shah

Keywords:

Opioid Misuse Prevention, Graph Neural Networks, Pharmaceutical Supply Chain, Prescription Monitoring, Healthcare Machine Learning

Abstract

This article presents an innovative early-warning platform designed to combat the opioid crisis throughproactive identification of potential misuse patterns. The system processes de-identified retail pharmacy claims, evaluating each against

References

Md Mahmudul Hasan et al., "A machine learning framework to predict the risk of opioid use disorder," Machine Learning with Applications, 2021. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2666827021000724

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Published

2025-10-30

How to Cite

Badal Shah. (2025). Machine Learning for Proactive Opioid Misuse Prevention: A Supply Chain Approach . Journal of Computational Analysis and Applications (JoCAAA), 34(10), 211–219. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3951