A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring.

Giacomo CapponMartina VettorettiFrancesca MarturanoAndrea FacchinettiGiovanni Sparacino

Published in: Journal of diabetes science and technology (2019)

This preliminary study showed the potentiality of using NNs for the personalization and optimization of the meal insulin bolus calculation. Future work will deal with more realistic scenarios including technological and physiological/behavioral sources of variability.

Keyphrases

neural network
type diabetes
glycemic control
climate change
drinking water
current status
skeletal muscle
adipose tissue
insulin resistance
weight loss