Giacomo Cappon
Giacomo Cappon
Assistant Professor of Bioengineering, University of Padua
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Zitiert von
Zitiert von
Continuous glucose monitoring sensors for diabetes management: a review of technologies and applications
G Cappon, M Vettoretti, G Sparacino, A Facchinetti
Diabetes & metabolism journal 43 (4), 383, 2019
Wearable continuous glucose monitoring sensors: a revolution in diabetes treatment
G Cappon, G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino
Electronics 6 (3), 65, 2017
2019 Clinical practice guidelines for type 2 diabetes mellitus in Korea
G Cappon, M Vettoretti, G Sparacino, A Facchinetti, MK Kim, SH Ko, ...
Diabetes & metabolism journal 43 (4), 398-406, 2019
Advanced diabetes management using artificial intelligence and continuous glucose monitoring sensors
M Vettoretti, G Cappon, A Facchinetti, G Sparacino
Sensors 20 (14), 3870, 2020
Continuous glucose monitoring: current use in diabetes management and possible future applications
M Vettoretti, G Cappon, G Acciaroli, A Facchinetti, G Sparacino
Journal of diabetes science and technology 12 (5), 1064-1071, 2018
A neural-network-based approach to personalize insulin bolus calculation using continuous glucose monitoring
G Cappon, M Vettoretti, F Marturano, A Facchinetti, G Sparacino
Journal of diabetes science and technology 12 (2), 265-272, 2018
Predicting quality of overnight glycaemic control in type 1 diabetes using binary classifiers
A Güemes, G Cappon, B Hernandez, M Reddy, N Oliver, P Georgiou, ...
IEEE journal of biomedical and health informatics 24 (5), 1439-1446, 2019
Machine-learning based model to improve insulin bolus calculation in type 1 diabetes therapy
G Noaro, G Cappon, M Vettoretti, G Sparacino, S Del Favero, ...
IEEE Transactions on Biomedical Engineering 68 (1), 247-255, 2020
Heterogeneity and nearest-neighbor coupling can explain small-worldness and wave properties in pancreatic islets
G Cappon, MG Pedersen
Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (5), 2016
Classification of postprandial glycemic status with application to insulin dosing in type 1 diabetes—An in silico proof-of-concept
G Cappon, A Facchinetti, G Sparacino, P Georgiou, P Herrero
Sensors 19 (14), 3168, 2019
A real-time continuous glucose monitoring–based algorithm to trigger hypotreatments to prevent/mitigate hypoglycemic events
N Camerlingo, M Vettoretti, S Del Favero, G Cappon, G Sparacino, ...
Diabetes Technology & Therapeutics 21 (11), 644-655, 2019
A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes.
G Cappon, L Meneghetti, F Prendin, J Pavan, G Sparacino, S Del Favero, ...
KDH@ ECAI 20, 75-79, 2020
In silico assessment of literature insulin bolus calculation methods accounting for glucose rate of change
G Cappon, F Marturano, M Vettoretti, A Facchinetti, G Sparacino
Journal of diabetes science and technology 13 (1), 103-110, 2019
The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
F Prendin, J Pavan, G Cappon, S Del Favero, G Sparacino, A Facchinetti
Scientific Reports 13 (1), 16865, 2023
Replaybg: A digital twin-based methodology to identify a personalized model from type 1 diabetes data and simulate glucose concentrations to assess alternative therapies
G Cappon, M Vettoretti, G Sparacino, S Del Favero, A Facchinetti
IEEE Transactions on Biomedical Engineering, 2023
An integrated mobile platform for automated data collection and real-time patient monitoring in diabetes clinical trials
G Cappon, L Cossu, F Boscari, D Bruttomesso, G Sparacino, A Facchinetti
Journal of Diabetes Science and Technology 16 (6), 1555-1559, 2022
Digital solutions to diagnose and manage postbariatric hypoglycemia
KA Schönenberger, L Cossu, F Prendin, G Cappon, J Wu, KL Fuchs, ...
Frontiers in Nutrition 9, 855223, 2022
A “slide rule” to adjust insulin dose using trend arrows in adults with type 1 diabetes: test in silico and in real life
D Bruttomesso, F Boscari, G Lepore, G Noaro, G Cappon, A Girelli, ...
Diabetes Therapy 12, 1313-1324, 2021
A personalized and adaptive insulin bolus calculator based on double deep q-learning to improve type 1 diabetes management
G Noaro, T Zhu, G Cappon, A Facchinetti, P Georgiou
IEEE Journal of Biomedical and Health Informatics, 2023
Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction.
J Pavan, F Prendin, L Meneghetti, G Cappon, G Sparacino, A Facchinetti, ...
KDH@ ECAI, 95-99, 2020
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