OptimaQ

OptimaQ

Predict addiction risk.- Help patients recover.

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OptimaQ uses dual Q-learning to predict opioid addiction risk and simulate treatment plans. Analyze patient data, track recovery states, and visualize outcomes — all open-source. Built for researchers and behavioral health innovation.
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Launch tags:Productivity•Developer Tools•GitHub
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Shalini Ananda
Maker
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Hi everyone 👋 I’m Shalini, and I built OptimaQ as a research-driven tool to support addiction recovery through AI. It uses a custom dual Q-learning model to categorize patients, predict risk, and simulate optimal treatment paths — based on real-world claims and prescription data. OptimaQ is fully open source, with visualizations, evaluation metrics, and reproducible workflows. It’s designed to support behavioral health professionals, researchers, and anyone working on the opioid crisis or clinical AI. I’d love your feedback, and if this speaks to you — feel free to contribute or sponsor: GitHub Thank you for checking it out 💛 #AddictionRecovery #ReinforcementLearning #AIforGood #OpenSourceHealthcare