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Mostrando ítems 1-4 de 4

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 ...
Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms

Cervigón, Carlos; Velasco, J. Manuel; Burgos-Simon, Clara; Villanueva Micó, Rafael Jacinto; Hidalgo, J. Ignacio (IEEE, 2021-07-01)

[EN] Type 1 Diabetes patients have to control their blood glucose levels using insulin therapy. Numerous factors (such as carbohydrate intake, physical activity, time of day, etc.) greatly complicate this task. In this ...

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Listar por palabra clave "Glucose prediction"

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