SPARACINO, GIOVANNI
SPARACINO, GIOVANNI
Dipartimento di Ingegneria dell'Informazione - DEI
The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes
2025 Dei Cas, Davide; Di Camillo, Barbara; Fadini, Gian Paolo; Sparacino, Giovanni; Longato, Enrico
A strategy based on integer programming for optimal dosing and timing of preventive hypoglycemic treatments in type 1 diabetes management
2024 Pavan, J.; Noaro, G.; Facchinetti, A.; Salvagnin, D.; Sparacino, G.; Del Favero, S.
Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors
2024 Roversi, Chiara; Nunzio, Camerlingo; Vettoretti, Martina; Facchinetti, Andrea; Choudhary, Pratik; Sparacino, Giovanni; Del Favero, Simone
Supervised and Unsupervised Approaches for the Real-Time Detection of Undesired Insulin Suspension Caused by Malfunctions
2024 Idi, Elena; Facchinetti, Andrea; Sparacino, Giovanni; Del Favero, Simone
Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D Management
2024 Idi, Elena; Manzoni, Eleonora; Facchinetti, Andrea; Sparacino, Giovanni; Favero, Simone Del
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
AGATA: A Toolbox for Automated Glucose Data Analysis
2023 Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
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.
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
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
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
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
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
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
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.
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.
Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions
2022 Prendin, Francesco; Díez, José-Luis; Del Favero, Simone; Sparacino, Giovanni; Facchinetti, Andrea; Bondia, Jorge
Choosing the duration of continuous glucose monitoring for reliable assessment of time in range: A new analytical approach to overcome the limitations of correlation-based methods
2022 Camerlingo, N.; Vettoretti, M.; Sparacino, G.; Facchinetti, A.; Mader, J. K.; Choudhary, P.; Del Favero, S.
Combined Use of Glucose-Specific Model Identification and Alarm Strategy Based on Prediction-Funnel to Improve Online Forecasting of Hypoglycemic Events
2022 Faccioli, S.; Prendin, F.; Facchinetti, A.; Sparacino, G.; Del Favero, S.
Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach
2022 Camerlingo, N.; Vettoretti, M.; Del Favero, S.; Facchinetti, A.; Choudhary, P.; Sparacino, G.