論文
数理モデル×データ駆動型計算による血糖管理システムへの試み
2023 年 33 巻 4 号 p. 181-189
詳細
2023 年 33 巻 4 号 p. 181-189
This survey reviews glucose regulatory systems using mathematical methods. We discuss the utilization of various minimal and comprehensive models of glucose metabolism combined with model predictive control, data assimilation, and physics-informed neural networks to develop decision support systems. These systems will help doctors and nurses administrating insulin levels in patients with diabetes and those in intensive care units.
