VETTORETTI, MARTINA

VETTORETTI, MARTINA  

Dipartimento di Ingegneria dell'Informazione - DEI  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
Building a predictive model of diabetes from Veneto’s regional HIE: identification of patients from administrative data In corso di stampa Enrico LongatoGian Paolo FadiniLara TramontanMartina VettorettiBarbara Di CamilloGiovanni Sparacino - - GNB 2018 - Sixth National Congress of Bioengineering
Validation and recalibration of the Finnish Diabetes Risk Score on the older American population of the Health and Retirement Study In corso di stampa Enrico LongatoMartina VettorettiBarbara Di CamilloAndrea Facchinetti - - GNB 2018 - Sixth National Congress of Bioengineering
Explainable AI-Driven Prognostic Models in ALS: Insights from the BRAINTEASER Project 2025 E. TavazziE. LongatoI. TrescatoA. GuazzoM. VettorettiPiero FariselliB. Di Camillo + - - International meeting PISA per la SLA: Artificial Intelligence driving research and cure in ALS and other Motor Neuron Diseases
Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks 2025 Tavazzi, EricaRoversi, ChiaraVettoretti, MartinaDi Camillo, Barbara - COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE Machine Learning and Principles and Practice of Knowledge Discovery in Databases
A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population 2024 Roversi C.Tavazzi E.Vettoretti M.Di Camillo B. SCIENTIFIC REPORTS - -
Big data, internet-of-things and aRtificial intelligence to study the impact of personal Exposure to Air pollution on asTHma Exacerbations (BREATHE): Beta Test 2024 Atzeni MCossu LCappon GTinè MBaraldo SVettoretti MSemenzato U. + - - XXV Congresso Nazionale della Pneumologia
Comparing Propensity Score-Based Methods in Estimating the Treatment Effect: A Simulation Study. 2024 Sara PolettoEnrico LongatoErica TavazziMartina Vettoretti - - Proceedings of CIBB 2024
Detection of Self-Reported Stress Level from Wearable Sensor Data Using Machine Learning and Deep Learning-Based Classifiers: Is It Feasible? 2024 Atzeni M.Cossu L.Cappon G.Vettoretti M. - - Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 1
DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling 2024 Isotta TrescatoErica TavazziMartina VettorettiBarbara Di Camillo + IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS - -
Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression. 2024 Elena MarinelloErica TavazziEnrico LongatoIsotta TrescatoAlessandro GuazzoMartina VettorettiBarbara Di Camillo + - - Proceedings of CIBB 2024
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024 2024 Faggioli G.Di Nunzio G. M.Guazzo A.Longato E.Marchesin S.Menotti L.Silvello G.Tavazzi E.Tavazzi E.Trescato I.Vettoretti M.Di Camillo B.Ferro N. + - LECTURE NOTES IN COMPUTER SCIENCE Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients 2024 Marinello, ElenaTavazzi, EricaLongato, EnricoTrescato, IsottaGuazzo, AlessandroVettoretti, MartinaDi Camillo, Barbara + - - 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Optimizing Remote Health Monitoring for Digital Platforms: Evaluating the Efficacy of Gamification in Enhancing Data Collection 2024 Atzeni, MicheleCossu, LucaVettoretti, MartinaCappon, Giacomo - STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS Digital Health and Informatics Innovations for Sustainable Health Care Systems
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge 2024 Faggioli G.Di Nunzio G. M.Fariselli P.Guazzo A.Longato E.Marchesin S.Menotti L.Silvello G.Tavazzi E.Trescato I.Vettoretti M.Di Camillo B.Ferro N. + - CEUR WORKSHOP PROCEEDINGS CEUR Workshop Proceedings
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study 2024 Guazzo AlessandroAtzeni MicheleIdi ElenaTrescato IsottaTavazzi EricaLongato EnricoVettoretti MartinaBarbara Di Camillo + BMC MEDICAL INFORMATICS AND DECISION MAKING - -
Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors 2024 Roversi, ChiaraVettoretti, MartinaFacchinetti, AndreaSparacino, GiovanniDel Favero, Simone + COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE - -
Selected Articles From The 18th Conference On Computational Intelligence Methods For Bioinformatics & Biostatistics: medical informatics and decision making 2024 Enrico LongatoErica TavazziMartina VettorettiGiacomo BaruzzoMassimo Bellato + BMC MEDICAL INFORMATICS AND DECISION MAKING - -
The Long Path to Usable AI 2024 Di Camillo B.Longato E.Tavazzi E.Vettoretti M. - - Big Data Analysis and Artificial Intelligence for Medical Sciences: Overview of the current state of the art on the use of artificial intelligence in medicine and biology
Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability 2024 Trescato, IsottaGuazzo, AlessandroLongato, EnricoTavazzi, EricaVettoretti, MartinaDi Camillo, Barbara + - - 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)
Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study 2024 Marinello E.Guazzo A.Longato E.Tavazzi E.Trescato I.Vettoretti M.Di Camillo B. - CEUR WORKSHOP PROCEEDINGS CEUR Workshop Proceedings