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GuardRail: A Computational Approach to Early Prediction of Opioid Risk Behavior Using a Multimodal Machine Learning & LLM Framework
Objective: The opioid crisis leads to approximately 100,000 deaths annually in the United States. Early prediction of clinical outcomes is essential for patient-risk evaluation and treatment allocation, yet current research lacks validated predictive tools to assess opioid-related aberrant behavior
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