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Francesco Prendin

Showing results (1-10 of 18) with videos related to

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IEEE Transactions on Bio-Medical Engineering|November 21, 2025
Data Augmentation Via Digital Twins to Develop Personalized Deep Learning Glucose Prediction Algorithms for Type 1 Diabetes in Poor Data ContextFrancesco Prendin, Andrea Facchinetti, Giacomo Cappon
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes TreatmentElena Idi, Francesco Prendin, Giovanni Sparacino, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 DiabetesGiacomo Cappon, Emanuele Pighin, Francesco Prendin, et al.
Journal of Diabetes Science and Technology|December 29, 2023
drCORRECT: An Algorithm for the Preventive Administration of Postprandial Corrective Insulin Boluses in Type 1 Diabetes ManagementElisa Pellizzari, Francesco Prendin, Giacomo Cappon, et al.
IEEE Transactions on Bio-Medical Engineering|May 17, 2023
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box OneGiacomo Cappon, Francesco Prendin, Andrea Facchinetti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose ForecastingAndrea Calzavara, Francesco Prendin, Giacomo Cappon, et al.
Journal of Diabetes Science and Technology|May 25, 2022
Combined Use of Glucose-Specific Model Identification and Alarm Strategy Based on Prediction-Funnel to Improve Online Forecasting of Hypoglycemic EventsSimone Faccioli, Francesco Prendin, Andrea Facchinetti, et al.
Sensors (Basel, Switzerland)|March 6, 2021
Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data OnlyFrancesco Prendin, Simone Del Favero, Martina Vettoretti, et al.
IEEE Journal of Biomedical and Health Informatics|January 14, 2026
Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 DiabetesAndrea Calzavara, Francesco Prendin, Giacomo Cappon, et al.
Diabetes, Obesity & Metabolism|June 1, 2022
Forecasting postbariatric hypoglycaemia in patients after Roux-en-Y gastric bypass using model-based algorithms fed by continuous glucose monitoring data: A proof-of-concept studyFrancesco Prendin, Giacomo Cappon, Afroditi Tripyla, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Bio-Medical Engineering|November 21, 2025
Data Augmentation Via Digital Twins to Develop Personalized Deep Learning Glucose Prediction Algorithms for Type 1 Diabetes in Poor Data ContextFrancesco Prendin, Andrea Facchinetti, Giacomo Cappon
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes TreatmentElena Idi, Francesco Prendin, Giovanni Sparacino, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 DiabetesGiacomo Cappon, Emanuele Pighin, Francesco Prendin, et al.
Journal of Diabetes Science and Technology|December 29, 2023
drCORRECT: An Algorithm for the Preventive Administration of Postprandial Corrective Insulin Boluses in Type 1 Diabetes ManagementElisa Pellizzari, Francesco Prendin, Giacomo Cappon, et al.
IEEE Transactions on Bio-Medical Engineering|May 17, 2023
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box OneGiacomo Cappon, Francesco Prendin, Andrea Facchinetti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose ForecastingAndrea Calzavara, Francesco Prendin, Giacomo Cappon, et al.
Journal of Diabetes Science and Technology|May 25, 2022
Combined Use of Glucose-Specific Model Identification and Alarm Strategy Based on Prediction-Funnel to Improve Online Forecasting of Hypoglycemic EventsSimone Faccioli, Francesco Prendin, Andrea Facchinetti, et al.
Sensors (Basel, Switzerland)|March 6, 2021
Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data OnlyFrancesco Prendin, Simone Del Favero, Martina Vettoretti, et al.
IEEE Journal of Biomedical and Health Informatics|January 14, 2026
Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 DiabetesAndrea Calzavara, Francesco Prendin, Giacomo Cappon, et al.
Diabetes, Obesity & Metabolism|June 1, 2022
Forecasting postbariatric hypoglycaemia in patients after Roux-en-Y gastric bypass using model-based algorithms fed by continuous glucose monitoring data: A proof-of-concept studyFrancesco Prendin, Giacomo Cappon, Afroditi Tripyla, et al.
Pageof 2