Andrea Facchinetti

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 54

Top Topics

Clinical Trials

Decision Support System

Top Venues

IEEE Trans. Biomed. Eng.

Comput. Methods Programs Biomed.

Publications

Chiara Roversi, Nunzio Camerlingo, Martina Vettoretti, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino, Simone Del Favero
Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors. Comput. Methods Programs Biomed. 244 (2024)
Jacopo Pavan, Giulia Noaro, Andrea Facchinetti, Domenico Salvagnin, Giovanni Sparacino, Simone Del Favero
A strategy based on integer programming for optimal dosing and timing of preventive hypoglycemic treatments in type 1 diabetes management. Comput. Methods Programs Biomed. 250 (2024)
Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino
Corrigendum to "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". Comput. Methods Programs Biomed. 252 (2024)
Jacopo Pavan, Domenico Salvagnin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabetes. IEEE Trans. Control. Syst. Technol. 31 (2) (2023)
Giulia Noaro, Taiyu Zhu, Giacomo Cappon, Andrea Facchinetti, Pantelis Georgiou
A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management. IEEE J. Biomed. Health Informatics 27 (5) (2023)
Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model From Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies. IEEE Trans. Biomed. Eng. 70 (11) (2023)
Elena Idi, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters. BSN (2023)
Giacomo Cappon, Elisa Pellizzari, Luca Cossu, Giovanni Sparacino, Annalisa Deodati, Riccardo Schiaffini, Stefano Cianfarani, Andrea Facchinetti
System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children. BSN (2023)
Elisa Pellizzari, Francesco Prendin, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy. BSN (2023)
Martina Vettoretti, Martina Drecogna, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials. Comput. Methods Programs Biomed. 240 (2023)
Giacomo Cappon, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One. IEEE Trans. Biomed. Eng. 70 (11) (2023)
Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
A model to forecast the two-year variation of subjective wellbeing in the elderly population. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino
clinical trials: More realistic scenarios obtained using a decision tree approach. Comput. Methods Programs Biomed. 221 (2022)
Simone Faccioli, Andrea Facchinetti, Giovanni Sparacino, Gianluigi Pillonetto, Simone Del Favero
Linear Model Identification for Personalized Prediction and Control in Diabetes. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Simone Faccioli, Iván Sala-Mira, José-Luis Díez, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero, Jorge Bondia
Super-twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario. Comput. Methods Programs Biomed. 219 (2022)
Francesco Prendin, José-Luis Díez, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti, Jorge Bondia
Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions. Sensors 22 (22) (2022)
Giulia Noaro, Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy. IEEE Trans. Biomed. Eng. 68 (1) (2021)
Nunzio Camerlingo, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti, Julia K. Mader, Pratik Choudhary, Simone Del Favero
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters. EMBC (2021)
Giacomo Cappon, Emanuele Pighin, Francesco Prendin, Giovanni Sparacino, Andrea Facchinetti
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes. EMBC (2021)
Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements. BHI (2021)
Francesco Prendin, Simone Del Favero, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti
Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only. Sensors 21 (5) (2021)
Martina Drecogna, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
Data Gap Modeling in Continuous Glucose Monitoring Sensor Data. EMBC (2021)
Lorenzo Meneghetti, Andrea Facchinetti, Simone Del Favero
Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy. IEEE Trans. Biomed. Eng. 68 (1) (2021)
Giacomo Cappon, Giulia Noaro, Nunzio Camerlingo, Luca Cossu, Giovanni Sparacino, Andrea Facchinetti
A New Decision Support System for Type 1 Diabetes Management. EMBC (2021)
Giulia Noaro, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management. EMBC (2021)
Martina Vettoretti, Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors. Sensors 20 (14) (2020)
Giacomo Cappon, Lorenzo Meneghetti, Francesco Prendin, Jacopo Pavan, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes. KDH@ECAI (2020)
Giulia Noaro, Giacomo Cappon, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy. EMBC (2020)
Jacopo Pavan, Francesco Prendin, Lorenzo Meneghetti, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti, Simone Del Favero
Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction. KDH@ECAI (2020)
Giada Acciaroli, Mattia Zanon, Andrea Facchinetti, Andreas Caduff, Giovanni Sparacino
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device. Sensors 19 (17) (2019)
Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data. EMBC (2019)
Martina Vettoretti, Cristina Battocchio, Giovanni Sparacino, Andrea Facchinetti
Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime. Sensors 19 (23) (2019)
Giuseppe Fico, Liss Hernández, Jorge Cancela, Arianna Dagliati, Lucia Sacchi, Antonio Martinez-Millana, Jorge Posada, Lidia Manero, Jose Verdú, Andrea Facchinetti, Manuel Ottaviano, Konstantia Zarkogianni, Konstantina S. Nikita, Leif Groop, Rafael Gabriel, Luca Chiovato, Vicente Traver, Juan Francisco Merino-Torres, Claudio Cobelli, Riccardo Bellazzi, María Teresa Arredondo
What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Matteo Gadaleta, Andrea Facchinetti, Enrico Grisan, Michele Rossi
Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring Signal. IEEE J. Biomed. Health Informatics 23 (2) (2019)
Martina Vettoretti, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti
Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data. EMBC (2019)
Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes. EMBC (2019)
Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Pantelis Georgiou, Pau Herrero
Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes - An In Silico Proof-of-Concept. Sensors 19 (14) (2019)
Giacomo Cappon, Martina Vettoretti, Francesca Marturano, Andrea Facchinetti, Giovanni Sparacino
Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information. EMBC (2018)
Giada Acciaroli, Andrea Facchinetti, Gianluigi Pillonetto, Giovanni Sparacino
Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models. EMBC (2018)
Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments. IEEE Trans. Biomed. Eng. 65 (6) (2018)
Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework. IEEE Trans. Biomed. Eng. 65 (3) (2018)
Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino
Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management. EMBC (2018)
Enrico Longato, Giada Acciaroli, Andrea Facchinetti, Liisa Hakaste, Tuomi Tiinamaija, Alberto Maran, Giovanni Sparacino
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data. Comput. Biol. Medicine 96 (2018)
Martina Vettoretti, Enrico Longato, Barbara Di Camillo, Andrea Facchinetti
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study. EMBC (2018)
Lyvia Biagi, Charrise Mary Ramkissoon, Andrea Facchinetti, Yenny Leal, Josep Vehí
Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor. Sensors 17 (6) (2017)
Eleonora Losiouk, Giordano Lanzola, Alfonso Galderisi, Daniele Trevisanuto, Garry M. Steil, Andrea Facchinetti, Claudio Cobelli
A telemonitoring service supporting preterm newborns care in a neonatal intensive care unit. RTSI (2017)
Giordano Lanzola, Eleonora Losiouk, Simone Del Favero, Andrea Facchinetti, Alfonso Galderisi, Silvana Quaglini, Lalo Magni, Claudio Cobelli
Scenarios: A Review. Sensors 16 (12) (2016)
Martina Vettoretti, Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors. IEEE Trans. Biomed. Eng. 63 (8) (2016)
Andrea Facchinetti
Continuous Glucose Monitoring Sensors: Past, Present and Future Algorithmic Challenges. Sensors 16 (12) (2016)
Francesco Sambo, Barbara Di Camillo, Alberto Franzin, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, Tuomi Tiinamaija, Claudio Cobelli
A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes. EMBC (2015)
Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment. EMBC (2015)
Francesco Sambo, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Barbara Di Camillo, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, Tuomi Tiinamaija, Claudio Cobelli
A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes. AIME (2015)
Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Accuracy of devices for self-monitoring of blood glucose: A stochastic error model. EMBC (2015)
Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices. Medical Biol. Eng. Comput. 53 (12) (2015)
Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information. Comput. Methods Programs Biomed. 113 (1) (2014)
Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution. IEEE Trans. Biomed. Eng. 61 (4) (2014)
Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Jessica Castle, W. Kenneth Ward, Claudio Cobelli
Modeling the Glucose Sensor Error. IEEE Trans. Biomed. Eng. 61 (3) (2014)
Chiara Fabris, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Sparse Principal Component Analysis for the parsimonious description of glucose variability in diabetes. EMBC (2014)
Miguel M. Isabel, Jorge Cancela, Giuseppe Fico, Andrea Facchinetti, Claudio Cobelli, María Teresa Arredondo
Can continuous glucose monitoring identify risk factors in type 1 and type 2 diabetes? A literature review. BHI (2014)
Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects. IEEE Trans. Biomed. Eng. 60 (2) (2013)
Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark Talary, Andreas Caduff, Claudio Cobelli
Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management. J. Appl. Math. 2013 (2013)
Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark Talary, Martin Mueller, Andreas Caduff, Claudio Cobelli
Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness. Sensors 13 (6) (2013)
Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Neural Network for Prediction of Glucose Concentration in Type 1 Diabetic Patients. SCAI (2013)
Simone Del Favero, Andrea Facchinetti, Claudio Cobelli
A Glucose-Specific Metric to Assess Predictors and Identify Models. IEEE Trans. Biomed. Eng. 59 (5) (2012)
Marco Falda, Stefano Toppo, Alessandro Pescarolo, Enrico Lavezzo, Barbara Di Camillo, Andrea Facchinetti, Elisa Cilia, Riccardo Velasco, Paolo Fontana
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. BMC Bioinform. 13 (S-4) (2012)
Stefania Guerra, Andrea Facchinetti, Giovanni Sparacino, Giuseppe De Nicolao, Claudio Cobelli
Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach. IEEE Trans. Biomed. Eng. 59 (6) (2012)
Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Michela Riz, Mark Talary, Roland E. Suri, Andreas Caduff, Claudio Cobelli
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. Medical Biol. Eng. Comput. 50 (10) (2012)
Giovanni Sparacino, Mattia Zanon, Andrea Facchinetti, Chiara Zecchin, Alberto Maran, Claudio Cobelli
Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management. Sensors 12 (10) (2012)
Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Giuseppe De Nicolao, Claudio Cobelli
Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration. IEEE Trans. Biomed. Eng. 59 (6) (2012)
Mattia Zanon, Michela Riz, Giovanni Sparacino, Andrea Facchinetti, Roland E. Suri, Mark S. Talary, Claudio Cobelli
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. EMBC (2011)
Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring. IEEE Trans. Biomed. Eng. 58 (9) (2011)
Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes. EMBC (2011)
Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Giuseppe De Nicolao, Claudio Cobelli
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information. EMBC (2011)
Giovanni Sparacino, Andrea Facchinetti, Claudio Cobelli
"Smart" Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues. Sensors 10 (7) (2010)
Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
An Online Self-Tunable Method to Denoise CGM Sensor Data. IEEE Trans. Biomed. Eng. 57 (3) (2010)
Giovanni Sparacino, Francesca Zanderigo, Stefano Corazza, Alberto Maran, Andrea Facchinetti, Claudio Cobelli
Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series. IEEE Trans. Biomed. Eng. 54 (5) (2007)
Andrea Facchinetti, Giovanni Sparacino, Francesca Zanderigo, Claudio Cobelli
Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data. EMBC (2006)