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ESTIMATION OF INSULIN BASED ON REINFORCEMENT LEARNING
ESTIMATION OF INSULIN BASED ON REINFORCEMENT LEARNING
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机译:基于强化学习的胰岛素估计
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摘要
The optimal insulin to be delivered by an insulin infusion pump is determined by using a reinforcement learning algorithm aiming to the personalized glucose regulation. The algorithm optimizes the daily basal insulin rate and insulin: carbohydrate ratio for each patient, on the basis of his/her measured glucose profile. The proposed algorithm is able to learn in real-time patient-specific characteristics captured in the daily glucose profile and provide individualised insulin treatment. An automatic and personalised tuning method contributes in the optimisation of the algorithm's performance.
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