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Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions

Prendin, Francesco; Diez, José-Luís; Del Favero, Simone; Sparacino, Giovanni; Facchinetti, Andrea; Bondía Company, Jorge (MDPI AG, 2022-11)

[EN] Accurate blood glucose (BG) forecasting is key in diabetes management, as it allows preventive actions to mitigate harmful hypoglycemic/hyperglycemic episodes. Considering the encouraging results obtained by seasonal ...
Glucose Prediction under Variable-Length Time-Stamped Daily Events: A Seasonal Stochastic Local Modeling Framework

Montaser, Eslam; Diez, José-Luís; Bondía Company, Jorge (MDPI AG, 2021-05)

[EN] Accurate glucose prediction along a long-enough time horizon is a key component for technology to improve type 1 diabetes treatment. Subjects with diabetes might benefit from supervision and control systems that ...
On the Use of Population Data for Training Seasonal Local Models-Based Glucose Predictors: An In Silico Study

Aslan, Antonio; Diez, José-Luís; Laguna Sanz, Alejandro José; Bondía Company, Jorge (MDPI AG, 2023)

[EN] Most advanced technologies for the treatment of type 1 diabetes, such as sensor-pump integrated systems or the artificial pancreas, require accurate glucose predictions on a given future time-horizon as a basis for ...

Mostrando ítems 1-3 de 3