Sfoglia per Autore
Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia
2022 Schonenberger, K. A.; Cossu, L.; Prendin, F.; Cappon, G.; Wu, J.; Fuchs, K. L.; Mayer, S.; Herzig, D.; Facchinetti, A.; Bally, L.
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 study
2022 Prendin, Francesco; Cappon, Giacomo; Tripyla, Afroditi; Herzig, David; Bally, Lia; Facchinetti, Andrea
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes
2021 Cappon, Giacomo; Pighin, Emanuele; Prendin, Francesco; Sparacino, Giovanni; Facchinetti, Andrea
An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials
2021 Cappon, G.; Cossu, L.; Boscari, F.; Bruttomesso, D.; Sparacino, G.; Facchinetti, A.
A data management platform for the assessment of new Type 1 diabetes therapies in clinical trials
2021 Cossu, Luca; Master, Degree; Department of Information, Engineering; University of, Padova; Padova, 35131; Italy, ; cossuluca@dei. unipd., It; Cappon, Giacomo; Phd, ; cappongi@dei. unipd., It; Sparacino, Giovanni; Phd, ; gianni@dei. unipd., It; Facchinetti, Andrea; Phd, ; facchine@dei. unipd., It
An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management
2021 Noaro, Giulia; Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
REPLAYBG PROVIDES RELIABLE INDICATIONS WHEN USED TO ASSESS MEAL BOLUS ALTERATIONS IN TYPE 1 DIABETES
2021 Cappon, G; Vettoretti, M; Sparacino, G; Del Favero, S; Facchinetti, A
A NEW TELEMEDICINE PLATFORM FOR CLINICAL TRIALS WITH AUTOMATIC SENSOR DATA GATHERING AND REAL TIME MONITORING
2021 Cossu, L; Cappon, G; Boscari, F; Bruttomesso, D; Sparacino, G; Facchinetti, A
A New Decision Support System for Type 1 Diabetes Management
2021 Cappon, Giacomo; Noaro, Giulia; Camerlingo, Nunzio; Cossu, Luca; Sparacino, Giovanni; Facchinetti, Andrea
Methods for Insulin Bolus Adjustment Based on the Continuous Glucose Monitoring Trend Arrows in Type 1 Diabetes: Performance and Safety Assessment in an In Silico Clinical Trial
2021 Noaro, G.; Cappon, G.; Sparacino, G.; Boscari, F.; Bruttomesso, D.; Facchinetti, A.
A “Slide Rule” to Adjust Insulin Dose Using Trend Arrows in Adults with Type 1 Diabetes: Test in Silico and in Real Life
2021 Bruttomesso, D.; Boscari, F.; Lepore, G.; Noaro, G.; Cappon, G.; Girelli, A.; Bozzetto, L.; Tumminia, A.; Grassi, G.; Sparacino, G.; Laviola, L.; Facchinetti, A.
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy
2021 Noaro, G.; Cappon, G.; Vettoretti, M.; Sparacino, G.; Favero, S. D.; Facchinetti, A.
Personalized machine learning algorithm based on shallow network and error imputation module for an improved blood glucose prediction
2020 Pavan, J.; Prendin, F.; Meneghetti, L.; Cappon, G.; Sparacino, G.; Facchinetti, A.; Del Favero, S.
A new integrated platform for gathering and managing multivariable and multisensor data in diabetes clinical studies
2020 Cossu, Luca; Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
Advanced diabetes management using artificial intelligence and continuous glucose monitoring sensors
2020 Vettoretti, M.; Cappon, G.; Facchinetti, A.; Sparacino, G.
A Bayesian framework to personalize glucose prediction in type 1 diabetes using a physiological model
2020 Cappon, Giacomo; Facchinetti, Andrea; Sparacino, Giovanni; DEL FAVERO, Simone
Machine learning approaches to enhance insulin bolus dosing in type 1 diabetes
2020 Noaro, Giulia; Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
A new real-time algorithm for preventive hypotreatments generation allows reducing frequency and duration of hypoglycemia
2020 Camerlingo, Nunzio; Vettoretti, Martina; Cappon, Giacomo; DEL FAVERO, Simone; Sparacino, Giovanni; Facchinetti, Andrea
A personalized and interpretable deep learning based approach to predict blood glucose concentration in type 1 diabetes
2020 Cappon, G.; Meneghetti, L.; Prendin, F.; Pavan, J.; Sparacino, G.; Del Favero, S.; Facchinetti, A.
A comprehensive in-silico comparison of literature methods to adjust the meal insulin bolus accounting for continuous glucose monitoring rate of change
2020 Noaro, Giulia; Cappon, Giacomo; Boscari, Federico; Sparacino, Giovanni; Bruttomesso, Daniela
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile