Reinforcement learning application in diabetes blood glucose control: A systematic review
作者：
Highlights：
• Reinforcement learning could be used to design a closed-loop artificial pancreas.
• Reinforcement learning is a personalized solution to estimate insulin delivery.
• Lack of focus on aspects that influence blood glucose level such as physical activity.
• Need to perform clinical validation of the blood glucose control algorithms.
• More frequent use of reinforcement learning for blood glucose control is foreseen.
摘要
•Reinforcement learning could be used to design a closed-loop artificial pancreas.•Reinforcement learning is a personalized solution to estimate insulin delivery.•Lack of focus on aspects that influence blood glucose level such as physical activity.•Need to perform clinical validation of the blood glucose control algorithms.•More frequent use of reinforcement learning for blood glucose control is foreseen.
论文关键词：Reinforcement learning,Blood glucose control,Artificial pancreas,Closed-loop,Insulin infusion
论文评审过程：Received 30 July 2018, Revised 3 August 2019, Accepted 19 February 2020, Available online 21 February 2020, Version of Record 4 March 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2020.101836
