Martina Vettoretti
Orcid: 0000-0002-5020-1818
According to our database1,
Martina Vettoretti
authored at least 45 papers
between 2015 and 2024.
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Bibliography
2024
DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling.
IEEE J. Biomed. Health Informatics, December, 2024
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., December, 2024
CoRR, 2024
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., 2024
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., 2024
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 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
Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
A model to forecast the two-year variation of subjective wellbeing in the elderly population.
BMC Medical Informatics Decis. Mak., December, 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
iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge.
Dataset, November, 2023
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials.
Comput. Methods Programs Biomed., October, 2023
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine, August, 2023
Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
2022
Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for <i>in-silico</i> clinical trials: More realistic scenarios obtained using a decision tree approach.
Comput. Methods Programs Biomed., 2022
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
2021
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy.
IEEE Trans. Biomed. Eng., 2021
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, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.
Sensors, 2020
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models.
J. Biomed. Informatics, 2020
2019
Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime.
Sensors, 2019
Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor 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
Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments.
IEEE Trans. Biomed. Eng., 2018
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework.
IEEE Trans. Biomed. Eng., 2018
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
A Model of Acetaminophen Pharmacokinetics and its Effect on Continuous Glucose Monitoring Sensor Measurements.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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
Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
A Hybrid Clustering Prediction for Type 1 Diabetes Aid: Towards Decision Support Systems Based upon Scenario Profile Analysis.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
2016
Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors.
IEEE Trans. Biomed. Eng., 2016
2015
Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015