FACCHINETTI, ANDREA
FACCHINETTI, ANDREA
Dipartimento di Ingegneria dell'Informazione - DEI
A dynamic risk measure from continuous glucose monitoring data.
2011 Guerra, Stefania; Sparacino, Giovanni; Facchinetti, Andrea; Schiavon, Michele; DALLA MAN, Chiara; Cobelli, Claudio
A Glucose-Specific Metric to Assess Predictors and Identify Models
2012 DEL FAVERO, Simone; Facchinetti, Andrea; Cobelli, Claudio
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
A Model of Self-Monitoring Blood Glucose Measurement Error
2017 Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni; Cobelli, Claudio
A model to forecast the two-year variation of subjective wellbeing in the elderly population
2023 Trescato, I; Roversi, C; Vettoretti, M; Camillo, B; Facchinetti, Andrea
A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring
2018 Cappon, Giacomo; Vettoretti, Martina; Marturano, Francesca; Facchinetti, Andrea; Sparacino, Giovanni
A new index to optimally design and compare continuous glucose monitoring glucose prediction algorithms
2011 Facchinetti, Andrea; Sparacino, Giovanni; Trifoglio, E; Cobelli, Claudio
A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q-Learning to Improve Type 1 Diabetes Management
2023 Noaro, Giulia; Zhu, Taiyu; Cappon, Giacomo; Facchinetti, Andrea; Georgiou, Pantelis
A Real-Time Continuous Glucose Monitoring Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic Events
2019 Camerlingo, Nunzio; Vettoretti, Martina; Del Favero, Simone; Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
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.
Addressing practical issues of predictive models translation into everyday practice and public health management: A combined model to predict the risk of type 2 diabetes improves incidence prediction and reduces the prevalence of missing risk predictions
2020 Vettoretti, M.; Longato, E.; Zandona, A.; Li, Y.; Pagan, J. A.; Siscovick, D.; Carnethon, M. R.; Bertoni, A. G.; Facchinetti, A.; Di Camillo, B.
Advanced diabetes management using artificial intelligence and continuous glucose monitoring sensors
2020 Vettoretti, M.; Cappon, G.; Facchinetti, A.; Sparacino, G.
AGATA: A Toolbox for Automated Glucose Data Analysis
2023 Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia
2020 Camerlingo, N.; Vettoretti, M.; Facchinetti, A.; Sparacino, G.; Mader, J. K.; Choudhary, P.; Del Favero, S.
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.
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects
2013 Facchinetti, Andrea; DEL FAVERO, Simone; Sparacino, Giovanni; Cobelli, Claudio
An Online Self-Tunable Method to Denoise CGM Sensor Data.
2010 Facchinetti, Andrea; Sparacino, Giovanni; Cobelli, Claudio
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms.
2012 Falda, Marco; Toppo, Stefano; Pescarolo, Alessandro; Lavezzo, Enrico; DI CAMILLO, Barbara; Facchinetti, Andrea; Cilia, E; Velasco, R; Fontana, P.
Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities
2023 Jacobs, Peter G; Herrero, Pau; Facchinetti, Andrea; Vehi, Josep; Kovatchev, Boris; Breton, Marc; Cinar, Ali; Nikita, Konstantina; Doyle, Frank; Bondia, Jorge; Battelino, Tatej; Castle, Jessica R; Zarkogianni, Konstantia; Narayan, Rahul; Mosquera-Lopez, Clara
Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring.
2010 PEREZ GANDIA, C; Facchinetti, Andrea; Sparacino, Giovanni; Cobelli, Claudio; Gomez, Ej; Rigla, M; DE LEIVA, A; Hernando, Me