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Performance Effect of Adjusting Insulin Sensitivity for Model-Based Automated Insulin Delivery Systems.

Marcela Moscoso-VásquezChiara FabrisMarc D Breton
Published in: Journal of diabetes science and technology (2023)
The proof-of-concept analysis presented here shows the potentially beneficial effects on system performance of informing the AID system with accurate estimates of IS. In particular, when considering reduced IS, the informed controller provides increased protection against hyperglycemia compared with the naïve controller. Similarly, reduced hypoglycemia is obtained for situations with increased IS. Further tailoring of the adaptation schemes proposed in this work is needed to overcome the increased hypoglycemia observed in the more resistant cases and to optimize the performance of the adaptation method.
Keyphrases
  • type diabetes
  • glycemic control
  • machine learning
  • deep learning
  • high resolution
  • high throughput
  • metabolic syndrome
  • skeletal muscle