VETTORETTI, MARTINA
VETTORETTI, MARTINA
Dipartimento di Ingegneria dell'Informazione - DEI
Validation and recalibration of the Finnish Diabetes Risk Score on the older American population of the Health and Retirement Study
In corso di stampa Longato, Enrico; Vettoretti, Martina; DI CAMILLO, Barbara; Facchinetti, Andrea
A Data-Driven Approach for the Characterization of Amyotrophic Lateral Sclerosis Progression Profiles
2026 Auletta, Eleonora; Roversi, Chiara; Vettoretti, Martina; Manera, Umberto; Gromicho, Marta; Alves, Inês; Chiò, Adriano; De Carvalho, Mamede; Madeira, Sara C; Di Camillo, Barbara; Aidos, Helena
Generating longitudinal synthetic data in type 2 diabetes using dynamic Bayesian networks: A case study on the LEADER trial dataset
2026 Poletto, S; Gonzato, N; Tavazzi, E; Longato, E; Adler, A; Gall, Ma; Müllenborn, M; Di Camillo, B; Vettoretti, M
Machine learning approaches for asthma exacerbation predictions: a systematic review
2026 Cilluffo, Giovanna; Atzeni, Michele; Malizia, Velia; Vettoretti, Martina; Sottile, Gianluca
Simulation-based comparison of propensity score methods for treatment effect estimation on real-world data
2026 Poletto, S; Longato, E; Tavazzi, E; Vettoretti, M.
A cohort description and comparison of four European national diabetes registries for the REDDIE project
2025 Thomas, Jonah J. C.; Lanzinger, Stefanie; Soerensen, Kathrine Kold; Imberg, Henrik; Schmid, Stefanie; Barron, Emma; Holl, Reinhard; Pedersen‐bjergaard, Ulrik; Adler, Amanda; Vettoretti, Martina; Misra, Shivani; Valabhji, Jonathan; Khunti, Kamlesh; Lind, Marcus; Torp‐pedersen, Christian; Mader, Julia K.; Choudhary, Pratik; Null, Null
A Dynamic Bayesian Network Approach for Generating Synthetic Longitudinal Clinical Data: A Case Study on Long-Term Diabetes Outcomes
2025 Poletto, S.; Gonzato, N.; Tavazzi, E.; Longato, E.; Adler, A.; Gall, M. A.; Mullenborn, M.; Di Camillo, B.; Vettoretti, M.
A machine learning framework for short-term prediction of chronic obstructive pulmonary disease exacerbations using personal air quality monitors and lifestyle data
2025 Atzeni, M.; Cappon, G.; Quint, J. K.; Kelly, F.; Barratt, B.; Vettoretti, M.
AirPredict: an eHealth platform for asthma management leveraging wearable sensors, digital diaries, and air quality monitoring to optimize patient outcomes
2025 Atzeni, Michele; Cossu, Luca; Gaiotti, Sergio; Cappon, Giacomo; Tinè, Mariaenrica; Previtero, Daniele; Padrin, Ylenia; Baraldo, Simonetta; Semenzato, Umberto; Vettoretti, Martina
Assessing the impact of personal exposure to air pollution on asthma control: feasibility study and preliminary findings using the AirPredict eHealth platform
2025 Gaiotti, S.; Atzeni, M.; Cossu, L.; Cappon, G.; Tine, M.; Previtero, D.; Padrin, Y.; Baraldo, S.; Semenzato, U.; Vettoretti, M.
Cross-sectional evaluation of host biomarkers for guiding antibiotic use in bacterial and non-bacterial acute febrile illness in low- and middle-income tropical settings
2025 Fernandez-Carballo, B Leticia; Atzeni, Michele; Escadafal, Camille; Vettoretti, Martina; Geis, Steffen; Agnandji, Selidji Todagbe; Siqueira, Andre M; Malava, Jullita Kenala; Banda, Louis; Kabwende, Anita L; Alabi, Ayodele; Ondo, Juste Christin Bie; Massinga-Loembe, Marguerite; Essone, Paulin N; Moreira, José; Da Rocha Matos, Aline; Caetano, Braulia C; Siqueira, Marilda M; Bispo De Filippis, Ana Maria; Dos Santos Ribeiro Da Silva, Érica Aparecida; Lourenço, Maria Cristina S; Häring, Julia; Günther, Anna; Jakobi, Meike; Schneiderhan-Marra, Nicole; Hoogland, Christine; Brasil, Patrícia; Pokharel, Sunil; Ongarello, Stefano; Harris, Victoria; Macé, Aurélien; Lee, Sue J; Di Camillo, Barbara; Dittrich, Sabine
Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis Via Sequences of Environmental Data
2025 Longato, E.; Tavazzi, E.; Milani, A.; Marinello, E.; Bosoni, P.; Dagliati, A.; Vazifehdan, M.; Bellazzi, R.; Trescato, I.; Guazzo, A.; Vettoretti, M.; Tavazzi, Eleonora; Ahmad, L.; Bergamaschi, R.; Cavalla, P.; Manera, U.; Chio, A.; Di Camillo, B.
Evaluating propensity-score-based methods in treatment effect estimation: a simulation study
2025 Poletto, S.; Longato, E.; Tavazzi, E.; Vettoretti, M.
Explainable AI-Driven Prognostic Models in ALS: Insights from the BRAINTEASER Project
2025 Tavazzi, E.; Longato, E.; Trescato, I.; Guazzo, A.; Vettoretti, M.; Birolo, G.; Manera, U.; Chiò, A.; Gromicho, M.; Alves, I.; de Carvalho, M.; Fariselli, Piero; Di Camillo, B.
Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks
2025 Tavazzi, Erica; Roversi, Chiara; Vettoretti, Martina; Di Camillo, Barbara
Machine Learning Diagnostic Models of Prediabetes and Type 2 Diabetes using Continuous Glucose Monitoring data
2025 Gastaldello, Alberto; Cappon, Giacomo; Vettoretti, Martina; Sparacino, Giovanni; Facchinetti, Andrea
Preface
2025 Vettoretti, Martina; Tavazzi, Erica; Longato, Enrico; Baruzzo, Giacomo; Bellato, Massimo
The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression Modeling
2025 Faggioli, G.; Menotti, L.; Marchesin, S.; Trescato, I.; Ahmad, L.; Aidos, H.; Alungulese, A. L.; Bellazzi, R.; Bergamaschi, R.; Birolo, G.; Bosoni, P.; Cabrera-Umpierrez, M. F.; Cavalla, P.; Chio, A.; Dagliati, A.; De Carvalho, M.; Fariselli, P.; Garcia Dominguez, J. M.; Gonzalez Martinez, S.; Gromicho, M.; Guazzo, A.; Jovanovic, A.; Kostic, B.; Longato, E.; Madeira, S. C.; Manera, U.; Munoz Blanco, J. L.; Tavazzi, E.; Tavazzi, E.; Trasobares Iglesias, E.; Urosevic, V.; Vettoretti, M.; Di Nunzio, G. M.; Silvello, G.; Di Camillo, B.; Ferro, N.
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.
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 Previtero, D; Atzeni, M; Padrin, Y; Cossu, L; Cappon, G; Tinè, M; Baraldo, S; Vettoretti, M; Semenzato, U.