Sfoglia per Autore
Building a predictive model of diabetes from Veneto’s regional HIE: identification of patients from administrative data
In corso di stampa Longato, Enrico; Fadini, GIAN PAOLO; Tramontan, Lara; Vettoretti, Martina; DI CAMILLO, Barbara; Sparacino, Giovanni
Physical Activity Measured by PAMS device Correlates with First- and Second-Order Glucose Concentration Derivatives
In corso di stampa Zecchin, Chiara; Facchinetti, Andrea; Chinmay, Manohar; Yogish C., Kudva; James A., Levine; Ananda, Basu; Sparacino, Giovanni; DALLA MAN, Chiara; Cobelli, Claudio
A model-based educational digital system to improve standard guidelines learning in people with type 1 diabetes
2023 Cappon, G.; Burza, F.; Facchinetti, A.; Del Favero, S.; Sparacino, G.; Vettoretti, and M.
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis
2023 Longato, Enrico; Tavazzi, Erica; Chió, Adriano; Mora, Gabriele; Sparacino, Giovanni; Di Camillo, Barbara
Algorithm based on the "dynamic risk" concept allows ahead-of-time suggestion of corrective insulin boluses in type 1 diabetes therapies employing continuous glucose monitors
2023 Pellizzari, E.; Prendin, F.; Cappon, G.; Sparacino, G.; Facchinetti, A.
AGATA: A Toolbox for Automated Glucose Data Analysis
2023 Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabete
2023 Pavan, Jacopo; Salvagnin, Domenico; Facchinetti, Andrea; Sparacino, Giovanni; DEL FAVERO, Simone
Monitoring Statistical Properties of Kalman Filter Residuals in an Artificial Pancreas to Detect Overnight Pump Malfunctions Causing Insulin Suspension
2023 Manzoni, Eleonora; Rampazzo, Mirco; Facchinetti, Andrea; Sparacino, Giovanni; Del Favero, Simone
drCORRECT: An Algorithm for the Preventive Administration of Postprandial Corrective Insulin Boluses in Type 1 Diabetes Management
2023 Pellizzari, Elisa; Prendin, Francesco; Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy
2023 Pellizzari, Elisa; Prendin, Francesco; Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials
2023 Vettoretti, Martina; Drecogna, Martina; Del Favero, Simone; Facchinetti, Andrea; Sparacino, Giovanni
Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits' text
2023 Guazzo, Alessandro; Longato, Enrico; Fadini, Gian Paolo; Morieri, Mario Luca; Sparacino, Giovanni; Di Camillo, Barbara
Supervised Learning-based Detection of Pressure-induced Failures in Continuous Glucose Sensors
2023 Idi, Elena; Manzoni, Eleonora; Facchinetti, Andrea; Sparacino, Giovanni; DEL FAVERO, Simone
Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports
2023 Guazzo, Alessandro; Longato, Enrico; Fadini, Gian Paolo; Morieri, Mario Luca; Sparacino, Giovanni; Di Camillo, Barbara
EEG Microstates as a Signature of Hemispheric Lateralization in Stroke
2023 Rubega, Maria; Facca, Massimiliano; Curci, Vittorio; Sparacino, Giovanni; Molteni, Franco; Guanziroli, Eleonora; Masiero, Stefano; Formaggio, Emanuela; Del Felice, Alessandra
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-box Approaches To a Physiological White-box One
2023 Cappon, Giacomo; Prendin, Francesco; Facchinetti, Andrea; Sparacino, Giovanni; Favero, Simone Del
The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
2023 Prendin, F.; Pavan, J.; Cappon, G.; Del Favero, S.; Sparacino, G.; Facchinetti, A.
ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model From Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies
2023 Cappon, G.; Vettoretti, M.; Sparacino, G.; Del Favero, S.; Facchinetti, A.
Bayesian denoising algorithm dealing with colored, non-stationary noise in continuous glucose monitoring timeseries
2023 Camerlingo, N.; Siviero, I.; Vettoretti, M.; Sparacino, G.; Del Favero, S.; Facchinetti, A.
Impact of Carbohydrate Counting Error on Glycemic Control in Open-Loop Management of Type 1 Diabetes: Quantitative Assessment Through an in silico Trial
2022 Roversi, Chiara; Vettoretti, Martina; Del Favero, Simone; Facchinetti, Andrea; Choudhary, Pratik; Sparacino, Giovanni
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