ACCIAROLI, GIADA
ACCIAROLI, GIADA
Università di Padova
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device
2019 Acciaroli, Giada; Zanon, Mattia; Facchinetti, Andrea; Caduff, Andreas; Sparacino, Giovanni
Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices
2019 Longato, E.; Acciaroli, G.; Facchinetti, A.; Maran, A.; Sparacino, G.
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
Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management
2018 Acciaroli, Giada; Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni.
Calibration of continuous glucose monitoring sensors by time-varying models and Bayesian estimation
2018 Acciaroli, Giada
Calibration of minimally invasive continuous glucose monitoring sensors: State-of-the-art and current perspectives
2018 Acciaroli, Giada; Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni
Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications
2018 Vettoretti, Martina; Cappon, Giacomo; Acciaroli, Giada; Facchinetti, Andrea; Sparacino, Giovanni
Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data
2018 Acciaroli, Giada; Sparacino, Giovanni; Hakaste, Liisa; Facchinetti, Andrea; Di Nunzio, Giorgio Maria; Palombit, Alessandro; Tuomi, Tiinamaija; Gabriel, Rafael; Aranda, Jaime; Vega, Saturio; Cobelli, Claudio
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data
2018 Longato, Enrico; Acciaroli, Giada; Facchinetti, Andrea; Hakaste, Liisa; Tuomi, Tiinamaija; Maran, Alberto; Sparacino, Giovanni
Head to head accuracy comparison between two interstitial glucose sensors
2018 Boscari, F.; Galasso, S.; Acciaroli, G.; Facchinetti, A.; Marescotti, M. C.; Amato, ANNA MARIA LETIZIA; Avogaro, A.; Bruttomesso, D.
Head-to-head comparison of the accuracy of Abbott FreeStyle Libre and Dexcom G5 mobile
2018 Boscari, F.; Galasso, S.; Acciaroli, G.; Facchinetti, A.; Marescotti, M. C.; Avogaro, A.; Bruttomesso, D.
IGT and T2D subjects automatically classified using a selection of CGM-based glycemic variability indices
2018 Longato, E.; Acciaroli, G.; Facchinetti, A.; Hakaste, L.; Tuomi, T.; Maran, A.; Sparacino, Giovanni
New Bayesian algorithm to reduce calibrations in continuous glucose monitoring sensors
2018 Acciaroli, G.; Vettoretti, M.; Facchinetti, A.; Sparacino, G.
Next generation Dexcom sensor with Bayesian algorithm goes towards a calibration-free scenario
2018 Acciaroli, G.; Vettoretti, M.; Vanslyke, S.; Garcia, A.; Facchinetti, A.; Sparacino, G.
Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models
2018 Acciaroli, G.; Facchinetti, A.; Pillonetto, G.; Sparacino, G.
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework
2018 Acciaroli, Giada; Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni; Cobelli, Claudio
Toward Calibration-Free Continuous Glucose Monitoring Sensors: Bayesian Calibration Approach Applied to Next-Generation Dexcom Technology
2018 Acciaroli, Giada; Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni
Bayesian calibration algorithm for next generation Dexcom sensor: 8.4% MARD with one calibration every 4 days
2017 Acciaroli, G.; Vettoretti, M.; Vanslyke, S.; Garcia, A.; Facchinetti, A.; Sparacino, Giovanni
CGM-based glycemic variability indices allow accurate classification of IGT and T2D subjects
2017 Longato, E.; Acciaroli, G.; Facchinetti, A.; Maran, A.; Sparacino, G.; Hakaste, L.; Tuomi, T.; Cobelli, and C.
Support vector machine fed by CGM-based glycemic variability indices can distinguish between IGT and T2D subjects
2017 Longato, E.; Acciaroli, G.; Facchinetti, A.; Hakaste, L.; Tuomi, T.; Maran, A.; Sparacino, Giovanni