Giacomo Cappon

Orcid: 0000-0003-4358-9268

According to our database1, Giacomo Cappon authored at least 21 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
0
1
2
3
4
5
6
7
1
3
1
2
1
1
3
3
3
2
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions.
BMC Medical Informatics Decis. Mak., December, 2025

2024
Optimizing Remote Health Monitoring for Digital Platforms: Evaluating the Efficacy of Gamification in Enhancing Data Collection.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

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.
IEEE Trans. Biomed. Eng., November, 2023

Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One.
IEEE Trans. Biomed. Eng., November, 2023

A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management.
IEEE J. Biomed. Health Informatics, May, 2023

BRAINTEASER Architecture for Integration of AI Models and Interactive Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Progression Prediction and Management.
Proceedings of the Digital Health Transformation, 2023

A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2021
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy.
IEEE Trans. Biomed. Eng., 2021

An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A New Decision Support System for Type 1 Diabetes Management.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers.
IEEE J. Biomed. Health Informatics, 2020

Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.
Sensors, 2020

Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

2019
Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes - An In Silico Proof-of-Concept.
Sensors, 2019

A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


  Loading...