Clinical risk-aware reinforcement learning for latency-constrained healthcare IoT scheduling
CRAI-LCS, a clinical risk-aware Reinforcement learning (RL) framework for latency-constrained scheduling in HIoT systems, combines data-driven clinical risk estimation, deadline-violation prediction, and RL-based scheduling to dynamically prioritize high-risk tasks while efficiently managing system resources.
J. B. Bin Jumah, H. Mirghani, Saad Alateeq et al.
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