Martina Vettoretti

50 papers B 1Journal 20Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Machine learning approaches for asthma exacerbation predictions: a systematic review.
Artif. Intell. Rev.
Giovanna Cilluffo, Michele Atzeni, Velia Malizia, Martina Vettoretti, Gianluca Sottile
2025 — conf
A Dynamic Bayesian Network Approach for Generating Synthetic Longitudinal Clinical Data: A Case Study on Long-Term Diabetes Outcomes.
BIBM
Sara Poletto, Noemi Gonzato, Erica Tavazzi, Enrico Longato, Amanda Adler, Mari-Anne Gall, Matthias Müllenborn, Barbara Di Camillo, Martina Vettoretti
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 — ed.
Computational Intelligence Methods for Bioinformatics and Biostatistics - 18th International Meeting, CIBB 2023, Padua, Italy, September 6-8, 2023, Revised Selected Papers
CIBB
Martina Vettoretti, Erica Tavazzi, Enrico Longato, Giacomo Baruzzo, Massimo Bellato
2025 — conf
Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis Via Sequences of Environmental Data.
BIBM
Enrico Longato, Erica Tavazzi, Anna Milani, Elena Marinello, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2024 J jnl
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.
Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino
2024 J jnl
DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling.
IEEE J. Biomed. Health Informatics
Isotta Trescato, Erica Tavazzi, Martina Vettoretti, Roberto Gatta, Rosario Vasta, Adriano Chiò, Barbara Di Camillo
2024 J jnl
Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression.
CoRR
Elena Marinello, Erica Tavazzi, Enrico Longato, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
2024 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024.
CLEF (2)
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
2024 — conf
Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients.
BIBM
Elena Marinello, Erica Tavazzi, Enrico Longato, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo
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
2024 — conf
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
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
2024 J jnl
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study.
BMC Medical Informatics Decis. Mak.
Alessandro Guazzo, Michele Atzeni, Elena Idi, Isotta Trescato, Erica Tavazzi, Enrico Longato, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Martina Vettoretti, Barbara Di Camillo
2024 J jnl
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.
Chiara Roversi, Nunzio Camerlingo, Martina Vettoretti, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino, Simone Del Favero
2024 — conf
Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability.
RTSI
Isotta Trescato, Alessandro Guazzo, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Barbara Di Camillo
2024 — conf
Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study.
CLEF (Working Notes)
Elena Marinello, Alessandro Guazzo, Enrico Longato, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo
2023 J jnl
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials.
Comput. Methods Programs Biomed.
Martina Vettoretti, Martina Drecogna, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
2023 J jnl
A model to forecast the two-year variation of subjective wellbeing in the elderly population.
BMC Medical Informatics Decis. Mak.
Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
2023 J jnl
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine
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
2023 — conf
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression.
CLEF (Working Notes)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
2023 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.
CLEF
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
2023 — conf
Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks.
PKDD/ECML Workshops (4)
Erica Tavazzi, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo
2023 — conf
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
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
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
2022 — conf
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression.
CLEF (Working Notes)
Isotta Trescato, Alessandro Guazzo, Enrico Longato, Enidia Hazizaj, Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
2022 — ed.
Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15-17, 2021, Revised Selected Papers
CIBB
Davide Chicco, Angelo M. Facchiano, Erica Tavazzi, Enrico Longato, Martina Vettoretti, Anna Bernasconi, Simone Avesani, Paolo Cazzaniga
2022 J jnl
Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for
Comput. Methods Programs Biomed.
Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino
2022 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.
CLEF
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
2022 — conf
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
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
2021 — conf
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population.
BHI
Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
2021 — conf
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters.
EMBC
Nunzio Camerlingo, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti, Julia K. Mader, Pratik Choudhary, Simone Del Favero
2021 — conf
Data Gap Modeling in Continuous Glucose Monitoring Sensor Data.
EMBC
Martina Drecogna, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
2021 J jnl
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
Francesco Prendin, Simone Del Favero, Martina Vettoretti, 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
2021 — conf
Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements.
BHI
Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
2020 J jnl
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models.
J. Biomed. Informatics
Enrico Longato, Martina Vettoretti, Barbara Di Camillo
2020 J jnl
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.
Sensors
Martina Vettoretti, Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino
2019 J jnl
Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime.
Sensors
Martina Vettoretti, Cristina Battocchio, Giovanni Sparacino, Andrea Facchinetti
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
2019 — conf
Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data.
EMBC
Martina Vettoretti, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti
2018 — conf
A Model of Acetaminophen Pharmacokinetics and its Effect on Continuous Glucose Monitoring Sensor Measurements.
EMBC
Michele Schiavon, Giada Acciaroli, Martina Vettoretti, Alberto Giaretta, Roberto Visentin
2018 — conf
Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management.
EMBC
Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino
2018 — conf
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study.
EMBC
Martina Vettoretti, Enrico Longato, Barbara Di Camillo, 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
2018 J jnl
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework.
IEEE Trans. Biomed. Eng.
Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2018 J jnl
Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments.
IEEE Trans. Biomed. Eng.
Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2017 B conf
A Hybrid Clustering Prediction for Type 1 Diabetes Aid: Towards Decision Support Systems Based upon Scenario Profile Analysis.
CHASE
Iván Contreras, Josep Vehí, Roberto Visentin, Martina Vettoretti
2016 J jnl
Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors.
IEEE Trans. Biomed. Eng.
Martina Vettoretti, Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
2015 — conf
Accuracy of devices for self-monitoring of blood glucose: A stochastic error model.
EMBC
Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2015 — conf
Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment.
EMBC
Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli