VETTORETTI, MARTINA
VETTORETTI, MARTINA
Dipartimento di Ingegneria dell'Informazione - DEI
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 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 Hypotreatments to Prevent/Mitigate Hypoglycemic Events
2019 Camerlingo, Nunzio; Vettoretti, Martina; Del Favero, Simone; Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
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.
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.
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
2023 Tavazzi, E.; Longato, E.; Vettoretti, M.; Aidos, H.; Trescato, I.; Roversi, C.; Martins, A. S.; Castanho, E. N.; Branco, R.; Soares, D. F.; Guazzo, A.; Birolo, G.; Pala, D.; Bosoni, P.; Chio, A.; Manera, U.; de Carvalho, M.; Miranda, B.; Gromicho, M.; Alves, I.; Bellazzi, R.; Dagliati, A.; Fariselli, P.; Madeira, S. C.; Di Camillo, B.
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.
Calibration of minimally invasive continuous glucose monitoring sensors: State-of-the-art and current perspectives
2018 Acciaroli, Giada; Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni
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.
Combining continuous glucose monitoring and insulin pumps to automatically tune the basal insulin infusion in diabetes therapy: a review
2019 Vettoretti, Martina; Facchinetti, Andrea
Comparing the accuracy of transcutaneous sensor and 90-day implantable glucose sensor
2020 Boscari, F.; Vettoretti, M.; Amato, A. M. L.; Vallone, V.; Uliana, A.; Iori, E.; Avogaro, A.; Facchinetti, A.; Bruttomesso, D.
Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications
2019 Cappon, Giacomo; Vettoretti, Martina; Sparacino, Giovanni; Facchinetti, Andrea
Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications
2018 Vettoretti, Martina; Cappon, Giacomo; Acciaroli, Giada; Facchinetti, Andrea; Sparacino, Giovanni
Design of clinical trials to assess diabetes treatment: Minimum duration of continuous glucose monitoring data to estimate time-in-ranges with the desired precision
2021 Camerlingo, N.; Vettoretti, M.; Sparacino, G.; Facchinetti, A.; Mader, J. K.; Choudhary, P.; Del Favero, S.
Development of an error model for a factory-calibrated continuous glucose monitoring sensor with 10-day lifetime
2019 Vettoretti, M.; Battocchio, C.; Sparacino, G.; Facchinetti, A.