Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study.

[BibT_eX]

[DOI]

Alessandro Guazzo

Michele Atzeni

BMC Medical Informatics Decis. Mak., December, 2024

iDPP@CLEF 2024 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge.

[BibT_eX]

[DOI]

Dataset, November, 2024

BRAINTEASER ALS and MS Datasets.

[BibT_eX]

[DOI]

Dataset, July, 2024

Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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".

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2024

Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Luca Cossu

Martina Vettoretti

Giacomo Cappon

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.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., November, 2023

iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge.

[BibT_eX]

[DOI]

Dataset, November, 2023

A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., October, 2023

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, August, 2023

Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2022

Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.

[BibT_eX]

[DOI]

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sensors, 2021

Data Gap Modeling in Continuous Glucose Monitoring Sensor Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sensors, 2020

A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models.

[BibT_eX]

[DOI]

Enrico Longato

Martina Vettoretti

Barbara Di Camillo

J. Biomed. Informatics, 2020

2019

Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime.

[BibT_eX]

[DOI]

Sensors, 2019

Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2018

Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2016

2015

Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Accuracy of devices for self-monitoring of blood glucose: A stochastic error model.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Martina Vettoretti

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