Sfoglia per Autore
Machine Learning-Based Anomaly Detection Algorithms to Alert Patients Using Sensor Augmented Pump of Infusion Site Failures
2022 Meneghetti, L.; Dassau, E.; Doyle, F. J.; Del Favero, S.
Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy
2021 Meneghetti, L.; Facchinetti, A.; Favero, S. D.
Personalized machine learning algorithm based on shallow network and error imputation module for an improved blood glucose prediction
2020 Pavan, J.; Prendin, F.; Meneghetti, L.; Cappon, G.; Sparacino, G.; Facchinetti, A.; Del Favero, S.
Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas
2020 Meneghetti, Lorenzo; Terzi, Matteo; DEL FAVERO, Simone; Susto, GIAN ANTONIO; Cobelli, Claudio
A personalized and interpretable deep learning based approach to predict blood glucose concentration in type 1 diabetes
2020 Cappon, G.; Meneghetti, L.; Prendin, F.; Pavan, J.; Sparacino, G.; Del Favero, S.; Facchinetti, A.
Detection of Insulin Pump Malfunctioning to Improve Safety in Artificial Pancreas Using Unsupervised Algorithms
2019 Meneghetti, L.; Susto, G. A.; Del Favero, S.
System for detecting malfunctions in insulin delivery devices
2019 Del Favero, S.; Meneghetti, L.; Terzi, Matteo; Susto, G. A.; Cobelli, C.
Fault Detection in Artificial Pancreas: A Model-Free approach
2018 Meneghetti, Lorenzo; Terzi, Matteo; Susto, GIAN ANTONIO; DEL FAVERO, Simone; Cobelli, Claudio
Real- time Basal Insulin Attenuation Based on Continuous Glucose Monitoring (CGM): Assessment of State-of-Art Algorithms in 14-Day in Silico Scenario
2017 Vettoretti, Martina; Fanton, Chiara; Facchinetti, Andrea; Meneghetti, Lorenzo; Sparacino, Giovanni; Cobelli, Claudio
In Silico Assessment of State-of-Art and New Algorithms for Real-time Basal Insulin Modulation in Sensor-Augmented Pumps
2017 Vettoretti, Martina; Meneghetti, Lorenzo; Fanton, Chiara; Sparacino, Giovanni; Facchinetti, Andrea
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile