PAVAN, JACOPO
PAVAN, JACOPO
Dipartimento di Ingegneria dell'Informazione - DEI
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.
A PID Control Algorithm for a Post-Prandial Hypoglycemic Clamp Study
2021 Pavan, J.; Dalla Man, C.; Herzig, D.; Bally, L.; Del Favero, S.
Clinical evaluation of a decision support system for glucose infusion in hypoglycaemic clamp experiments
2023 Pavan, J.; Herzig, D.; Tripyla, A.; Dalla Man, C.; Bally, L.; Del Favero, S.
Closed-loop control strategies for improved human-device interaction in medical devices
2023 Pavan, Jacopo
Counter-regulatory responses to postprandial hypoglycaemia in patients with post-bariatric hypoglycaemia vs surgical and non-surgical control individuals
2023 Tripyla, Afroditi; Herzig, David; Reverter-Branchat, Gemma; Pavan, Jacopo; Schiavon, Michele; Eugster, Philippe J; Grouzmann, Eric; Nakas, Christos T; Sauvinet, Valérie; Meiller, Laure; Zehetner, Joerg; Giachino, Daniel; Nett, Philipp; Gawinecka, Joanna; Del Favero, Simone; Thomas, Andreas; Thevis, Mario; Dalla Man, Chiara; Bally, Lia
Gluclas: A software for computer-aided modulation of glucose infusion in glucose clamp experiments
2022 Pavan, Jacopo; DALLA MAN, Chiara; Herzig, David; Bally, Lia; DEL FAVERO, Simone
Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabete
2023 Pavan, Jacopo; Salvagnin, Domenico; Facchinetti, Andrea; Sparacino, Giovanni; DEL FAVERO, Simone
Multi-Input Multi-Output Model Predictive Control for Drugs Delivery in Clinical Anesthesia
2023 Manzoni, Eleonora; Pavan, Jacopo; Rampazzo, Mirco; DEL FAVERO, Simone
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.
The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
2023 Prendin, F.; Pavan, J.; Cappon, G.; Del Favero, S.; Sparacino, G.; Facchinetti, A.