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Giacomo Cappon
Giacomo Cappon
Research Fellow in Bioengineering, University of Padua
Verified email at studenti.unipd.it - Homepage
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Cited by
Cited by
Year
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
1622019
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
1492017
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), 383-397, 2019
1452019
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
492018
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
432018
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), 053103, 2016
302016
Advanced diabetes management using artificial intelligence and continuous glucose monitoring sensors
M Vettoretti, G Cappon, A Facchinetti, G Sparacino
Sensors 20 (14), 3870, 2020
182020
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
142020
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
142019
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
142019
Predicting quality of overnight glycaemic control in type 1 diabetes using binary classifiers
A GŁemes, G Cappon, B Hernandez, M Reddy, N Oliver, P Georgiou, ...
IEEE Journal of Biomedical and Health Informatics 24 (5), 1439-1446, 2019
132019
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
112019
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, 75-79, 2020
52020
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, 19322968211024620, 2021
32021
Nonlinear machine learning models for insulin bolus estimation in type 1 diabetes therapy
G Noaro, G Cappon, G Sparacino, S Del Favero, A Facchinetti
2020 42nd Annual International Conference of the IEEE Engineering in†…, 2020
32020
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
32020
A Bayesian framework to identify type 1 diabetes physiological models using easily accessible patient data
G Cappon, A Facchinetti, G Sparacino, S Del Favero
2019 41st Annual International Conference of the IEEE Engineering in†…, 2019
32019
Optimal insulin bolus dosing in type 1 diabetes management: Neural network approach exploiting CGM sensor information
G Cappon, M Vettoretti, F Marturano, A Facchinetti, G Sparacino
2018 40th Annual International Conference of the IEEE Engineering in†…, 2018
32018
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 (5), 1313-1324, 2021
22021
Smart bolus calculator for personalized insulin dosing using continuous glucose monitoring data and patient characteristics
G Cappon, M Vettoretti, A Facchinetti, G Sparacino
Diabetes Technol. Therapeutics 21, 16-17, 2019
22019
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