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Adaptive Multi-Agent Feature Selection for Personalized Fall Risk Prevention

arXiv cs.LG · 2026-08-20 Cached

The paper introduces PAFIR, an adaptive feature selection framework using reinforcement learning for personalized fall risk prevention from longitudinal multimodal health data, demonstrating improved effectiveness over baseline methods.

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