Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses. - Pietro Bosoni; Allan Tucker; Riccardo Bellazzi; Svetlana I. Nihtyanova; Christopher P. Denton (CBMS, 2016)

Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease. - Awad Alsaid Alyousef; Svetlana I. Nihtyanova; Christopher P. Denton; Pietro Bosoni; Riccardo Bellazzi; Allan Tucker (J. Heal. Informatics Res., 2018)

Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction. - Awad Alsaid Alyousef; Svetlana I. Nihtyanova; Christopher P. Denton; Pietro Bosoni; Riccardo Bellazzi; Allan Tucker (CBMS, 2019)

Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data. - Pietro Bosoni; Marco Meccariello; Valeria Calcaterra; Cristiana Larizza; Lucia Sacchi; Riccardo Bellazzi (AIME, 2020)

Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform. - Elisa Salvi; Pietro Bosoni; Valentina Tibollo; Lisanne Kruijver; Valeria Calcaterra; Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza (Sensors, 2020)

Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis. - Tommaso Mario Buonocore; Pietro Bosoni; Giovanna Nicora; Mahin Vazifehdan; Riccardo Bellazzi; Enea Parimbelli; Arianna Dagliati (CLEF (Working Notes), 2023)

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. - 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; et al. (Artif. Intell. Medicine, 2023)

V-care: An application to support lifestyle improvement in children with obesity. - Cristiana Larizza; Pietro Bosoni; Silvana Quaglini; Michelangelo Chasseur; Valentina Bevolo; Gianvincenzo Zuccotti; Valeria Calcaterra (Int. J. Medical Informatics, 2023)

Assessing a Personalized, Hybrid, and Generic Approach for Glucose Prediction in Type 1 Diabetes. - Pietro Bosoni; Morten Hasselstrøm Jensen; Riccardo Bellazzi; Simon Lebech Cichosz (BIBM, 2024)

Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients. - Elena Marinello; Erica Tavazzi; Enrico Longato; Pietro Bosoni; Arianna Dagliati; Mahin Vazifehdan; Riccardo Bellazzi; Isotta Trescato; Alessandro Guazzo; Martina Vettoretti; Eleonora Tavazzi; Lara Ahmad; et al. (BIBM, 2024)

Land Use Regression on Interpolated Urban Graphs to Assess Personal Exposure to Air Pollution. - Daniele Pala; Giacomo Zagami; Pietro Bosoni; Mahin Vazifehdan; Riccardo Bellazzi; Arianna Dagliati (BIBM, 2024)

NutriA: a Responsive Web App to Monitor Nutrition and Clinical Outcomes in Inflammatory Bowel Disease Patients. - Giorgia Petrini; Daniele Pala; Marco Vincenzo Lenti; Federica Lepore; Pietro Bosoni; Silvana Quaglini; Giordano Lanzola (BIBM, 2024)

Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. - 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; et al. (CLEF (Working Notes), 2024)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. - 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; et al. (CLEF (2), 2024)

Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories. - Pietro Bosoni; Mahin Vazifehdan; Daniele Pala; Eleonora Tavazzi; Roberto Bergamaschi; Riccardo Bellazzi; Arianna Dagliati (CLEF (Working Notes), 2024)

Continuous Markov Models for Analyzing the Effect of Environmental Personal Exposure on Multiple Sclerosis Progression. - Pietro Bosoni; Eleonora Tavazzi; Riccardo Bellazzi; Roberto Bergamaschi; Arianna Dagliati (pHealth, 2024)

Forecasting glucose values for patients with type 1 diabetes using heart rate data. - Raffaele Giancotti; Pietro Bosoni; Patrizia Vizza; Giuseppe Tradigo; Agostino Gnasso; Pietro Hiram Guzzi; Riccardo Bellazzi; Concetta Irace; Pierangelo Veltri (Comput. Methods Programs Biomed., 2024)

Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression. - Elena Marinello; Erica Tavazzi; Enrico Longato; Pietro Bosoni; Arianna Dagliati; Mahin Vazifehdan; Riccardo Bellazzi; Isotta Trescato; Alessandro Guazzo; Martina Vettoretti; Eleonora Tavazzi; Lara Ahmad; et al. (CoRR, 2024)

Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries. - Andrea Lanubile; Pietro Bosoni; Gabriele Pozzato; Anirudh Allam; Matteo Acquarone; Simona Onori (CoRR, 2024)

Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. - Daniele Pala; Giorgia Petrini; Pietro Bosoni; Cristiana Larizza; Silvana Quaglini; Giordano Lanzola (Int. J. Medical Informatics, 2024)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Stefano Marchesin 001; Laura Menotti; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Pietro Bosoni; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; et al. (Zenodo, 2024)

iDPP@CLEF 2024 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. - 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; et al. (Zenodo, 2024)

Effect of Environmental Personal Exposure on Amyotrophic Lateral Sclerosis Disease Progression. - Pietro Bosoni; Irene Aiello; Umberto Manera; Marta Gromicho; Inês Alves; Barbara Di Camillo; Mamede de Carvalho; Adriano Chiò; Riccardo Bellazzi; Arianna Dagliati (ICHI, 2025)

Temporal Characterization of Glycemia Risk Index Sequences through Random Walk Bayesian Clustering. - Francesca Pescol; Pietro Bosoni; Stefania Ghilotti; Pasquale De Cata; Valentina Tibollo; Arianna Dagliati; Fulvia Ferrazzi; Lucia Sacchi; Riccardo Bellazzi (ICHI, 2025)

Longitudinal Missing Data Imputation for Predicting Disability Stage of Patients with Multiple Sclerosis. - Mahin Vazifehdan; Pietro Bosoni; Daniele Pala; Eleonora Tavazzi; Roberto Bergamaschi; Riccardo Bellazzi; Arianna Dagliati (CoRR, 2025)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Stefano Marchesin 001; Laura Menotti; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Pietro Bosoni; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; et al. (Zenodo, 2025)