Giacomo Cappon

25 papers C 3Journal 10Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Addressing Current Unmet Clinical Needs by Co-Designing a Novel Web Interface for Decision Support in Pediatric Type 1 Diabetes.
ICHI
Luca Cossu, Giacomo Cappon, Elisa Pellizzari, Annalisa Deodati, Riccardo Schiaffini, Stefano Cianfarani, Giovanni Sparacino, Andrea Facchinetti
2025 J jnl
AirPredict: an eHealth platform for asthma management leveraging wearable sensors, digital diaries, and air quality monitoring to optimize patient outcomes.
Frontiers Digit. Health
Michele Atzeni, Luca Cossu, Sergio Gaiotti, Giacomo Cappon, Mariaenrica Tinè, Daniele Previtero, Ylenia Padrin, Simonetta Baraldo, Umberto Semenzato, Martina Vettoretti
2025 — conf
Enhancing the Physiological Plausibility of GAN-Generated Blood Glucose in Type 1 Diabetes with Monotonicity Constraints.
MetroXRAINE
Elisa Pellizzari, Omer Mujahid, Francesco Prendin, Oriol Bustos, Giacomo Cappon, Andrea Facchinetti, Josep Vehí
2025 J jnl
Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions.
BMC Medical Informatics Decis. Mak.
Francesco Prendin, Olivia Streicher, Giacomo Cappon, Eva Rolfes, David Herzig, Lia Bally, Andrea Facchinetti
2024 J jnl
Automated pipeline for denoising, missing data processing, and feature extraction for signals acquired via wearable devices in multiple sclerosis and amyotrophic lateral sclerosis applications.
Frontiers Digit. Health
Luca Cossu, Giacomo Cappon, Andrea Facchinetti
2024 — conf
Optimizing Remote Health Monitoring for Digital Platforms: Evaluating the Efficacy of Gamification in Enhancing Data Collection.
MIE
Luca Cossu, Martina Vettoretti, Giacomo Cappon
2023 C conf
A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy.
BSN
Elisa Pellizzari, Francesco Prendin, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
2023 J jnl
A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management.
IEEE J. Biomed. Health Informatics
Giulia Noaro, Taiyu Zhu, Giacomo Cappon, Andrea Facchinetti, Pantelis Georgiou
2023 C conf
BRAINTEASER Architecture for Integration of AI Models and Interactive Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Progression Prediction and Management.
ICOST
Vladimir Urosevic, Nikola Vojicic, Aleksandar Jovanovic, Borko Kostic, Sergio González-Martínez, María Fernanda Cabrera-Umpiérrez, Manuel Ottaviano, Luca Cossu, Andrea Facchinetti, Giacomo Cappon
2023 J jnl
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One.
IEEE Trans. Biomed. Eng.
Giacomo Cappon, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2023 J jnl
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.
Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2023 C conf
System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children.
BSN
Giacomo Cappon, Elisa Pellizzari, Luca Cossu, Giovanni Sparacino, Annalisa Deodati, Riccardo Schiaffini, Stefano Cianfarani, Andrea Facchinetti
2021 — conf
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes.
EMBC
Giacomo Cappon, Emanuele Pighin, Francesco Prendin, Giovanni Sparacino, Andrea Facchinetti
2021 — conf
A New Decision Support System for Type 1 Diabetes Management.
EMBC
Giacomo Cappon, Giulia Noaro, Nunzio Camerlingo, Luca Cossu, Giovanni Sparacino, Andrea Facchinetti
2021 — conf
An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management.
EMBC
Giulia Noaro, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
2021 J jnl
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy.
IEEE Trans. Biomed. Eng.
Giulia Noaro, Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2020 — conf
A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes.
KDH@ECAI
Giacomo Cappon, Lorenzo Meneghetti, Francesco Prendin, Jacopo Pavan, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2020 J jnl
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.
Sensors
Martina Vettoretti, Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino
2020 — conf
Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy.
EMBC
Giulia Noaro, Giacomo Cappon, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2020 — conf
Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction.
KDH@ECAI
Jacopo Pavan, Francesco Prendin, Lorenzo Meneghetti, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti, Simone Del Favero
2020 J jnl
Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers.
IEEE J. Biomed. Health Informatics
Amparo Güemes, Giacomo Cappon, Bernard Hernandez, Monika Reddy, Nick Oliver, Pantelis Georgiou, Pau Herrero
2019 — conf
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data.
EMBC
Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2019 J jnl
Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes - An In Silico Proof-of-Concept.
Sensors
Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Pantelis Georgiou, Pau Herrero
2019 — conf
In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes.
EMBC
Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
2018 — conf
Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information.
EMBC
Giacomo Cappon, Martina Vettoretti, Francesca Marturano, Andrea Facchinetti, Giovanni Sparacino