VETTORETTI, MARTINA
VETTORETTI, MARTINA
Dipartimento di Ingegneria dell'Informazione - DEI
A CONSENSUS MODEL TO IMPROVE THE PREDICTION OF TYPE 2 DIABETES ONSET: VALIDATION ON THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS DATA
2019 Vettoretti, M; Longato, E; Zandona, A; Li, Y; Madondo, K; Pagan, J; Siscovick, D; Facchinetti, A; Di Camillo, B
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population
2021 Roversi, Chiara; Tavazzi, Erica; Vettoretti, Martina; Di Camillo, Barbara
A Hybrid Clustering Prediction for Type 1 Diabetes Aid: Towards Decision Support Systems Based upon Scenario Profile Analysis
2017 Contreras, I.; Vehi, J.; Visentin, R.; Vettoretti, M.
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters
2021 Camerlingo, N.; Vettoretti, M.; Sparacino, G.; Facchinetti, A.; Mader, J. K.; Choudhary, P.; Del Favero, S.
A Model of Acetaminophen Pharmacokinetics and its Effect on Continuous Glucose Monitoring Sensor Measurements
2018 Schiavon, Michele; Acciaroli, Giada; Vettoretti, Martina; Giaretta, Alberto; Visentin, Roberto
A Model of Self-Monitoring Blood Glucose Measurement Error
2017 Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni; Cobelli, Claudio
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 CGM-based algorithm to generate preventive hypotreatments: an in-silico assessment
2019 Camerlingo, Nunzio; Vettoretti, Martina; Cappon, Giacomo; DEL FAVERO, Simone; Facchinetti, Andrea; Sparacino, Giovanni
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 practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models
2020 Longato, E.; Vettoretti, M.; Di Camillo, B.
A real-time continuous glucose monitoring based algorithm to trigger carbohydrates assumption to prevent/mitigate hypoglycemic events
2019 Sparacino, Giovanni; Camerlingo, Nunzio; Vettoretti, Martina; Facchinetti, Andrea; DEL FAVERO, Simone; Cappon, Giacomo
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 Stochastic Model of Self-Monitoring of Blood Glucose Measurement Error: Toward a Simulator of Diabetic Patient Therapeutic Decisions
2015 Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni; Cobelli, Claudio
A variable ranking method for machine learning models with correlated features: In-silico validation and application for diabetes prediction
2021 Vettoretti, M.; Di Camillo, B.
Accuracy comparison between Dexcom G5 and Eversense sensors
2020 Boscari, F; Vettoretti, M; Amato, A; Vallone, V; Uliana, A; Avogaro, A; Facchinetti, A; Bruttomesso, D
Accuracy of a real-time continuous glucose monitoring system during cardiac surgery with hypothermic extracorporeal circulation
2022 Herzig, D; Vettoretti, M; Guensch, Dp; Melmer, A; Goerg, Ack; Kadner, A; Facchinetti, A; Vogt, A; Bally, L
Accuracy of devices for self-monitoring of blood glucose: A stochastic error model
2015 Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni; Cobelli, Claudio
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.
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.