Martina Vettoretti

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Topics

Machine Learning Approaches

Clinical Trials

Disease Progression

Top Venues

CLEF (Working Notes)

IEEE Trans. Biomed. Eng.

Comput. Methods Programs Biomed.

Publications

Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) (2024)
Elena Marinello, Alessandro Guazzo, Enrico Longato, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo
Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study. CLEF (Working Notes) (2024)
Chiara Roversi, Nunzio Camerlingo, Martina Vettoretti, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino, Simone Del Favero
Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors. Comput. Methods Programs Biomed. 244 (2024)
Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino
Corrigendum to "Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach". Comput. Methods Programs Biomed. 252 (2024)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression. CLEF (Working Notes) (2023)
Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
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. 70 (11) (2023)
Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artif. Intell. Medicine 142 (2023)
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) (2023)
Martina Vettoretti, Martina Drecogna, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials. Comput. Methods Programs Biomed. 240 (2023)
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. CLEF (2023)
Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
A model to forecast the two-year variation of subjective wellbeing in the elderly population. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino
clinical trials: More realistic scenarios obtained using a decision tree approach. Comput. Methods Programs Biomed. 221 (2022)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. CLEF (2022)
Isotta Trescato, Alessandro Guazzo, Enrico Longato, Enidia Hazizaj, Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression. CLEF (Working Notes) (2022)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) (2022)
Giulia Noaro, Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy. IEEE Trans. Biomed. Eng. 68 (1) (2021)
Nunzio Camerlingo, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti, Julia K. Mader, Pratik Choudhary, Simone Del Favero
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters. EMBC (2021)
Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements. BHI (2021)
Francesco Prendin, Simone Del Favero, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti
Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only. Sensors 21 (5) (2021)
Martina Drecogna, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
Data Gap Modeling in Continuous Glucose Monitoring Sensor Data. EMBC (2021)
Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population. BHI (2021)
Martina Vettoretti, Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors. Sensors 20 (14) (2020)
Enrico Longato, Martina Vettoretti, Barbara Di Camillo
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models. J. Biomed. Informatics 108 (2020)
Martina Vettoretti, Cristina Battocchio, Giovanni Sparacino, Andrea Facchinetti
Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime. Sensors 19 (23) (2019)
Martina Vettoretti, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti
Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data. EMBC (2019)
Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
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 (2019)
Giacomo Cappon, Martina Vettoretti, Francesca Marturano, Andrea Facchinetti, Giovanni Sparacino
Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information. EMBC (2018)
Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments. IEEE Trans. Biomed. Eng. 65 (6) (2018)
Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework. IEEE Trans. Biomed. Eng. 65 (3) (2018)
Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino
Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management. EMBC (2018)
Michele Schiavon, Giada Acciaroli, Martina Vettoretti, Alberto Giaretta, Roberto Visentin
A Model of Acetaminophen Pharmacokinetics and its Effect on Continuous Glucose Monitoring Sensor Measurements. EMBC (2018)
Martina Vettoretti, Enrico Longato, Barbara Di Camillo, Andrea Facchinetti
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study. EMBC (2018)
Iván Contreras, Josep Vehí, Roberto Visentin, Martina Vettoretti
A Hybrid Clustering Prediction for Type 1 Diabetes Aid: Towards Decision Support Systems Based upon Scenario Profile Analysis. CHASE (2017)
Martina Vettoretti, Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors. IEEE Trans. Biomed. Eng. 63 (8) (2016)
Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment. EMBC (2015)
Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
Accuracy of devices for self-monitoring of blood glucose: A stochastic error model. EMBC (2015)