AgHealth+: Privacy-Aware Agentic AI for IoT Healthcare (PAAI Framework)
AgHealth+: Privacy-Aware Agentic AI for IoT Healthcare (PAAI Framework)
Official implementation of the PAAI framework — a four-layer constrained reinforcement learning and BDI multi-agent architecture for chronic disease management in IoT healthcare. Combines a custom Gymnasium environment, MaskablePPO with Lagrangian safety constraints, a hash-chained audit log, and a three-tier Human-in-the-Loop governance model. Validated on a 12-month synthetic cohort of 500 patients and on MIMIC-IV real ICU data.
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agentic AI, reinforcement learning, MIMIC-IV, constrained MDP, BDI agents, chronic disease management, privacy-preserving, IoT healthcare, human-in-the-loop
agentic AI, reinforcement learning, MIMIC-IV, constrained MDP, BDI agents, chronic disease management, privacy-preserving, IoT healthcare, human-in-the-loop
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