Pietro Bosoni

According to our database, Pietro Bosoni authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo

CoRR, 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

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

Proceedings of the pHealth 2024 - Proceedings of the 20th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2024

Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories.

Pietro Bosoni, Mahin Vazifehdan, Daniele Pala, Eleonora Tavazzi, Roberto Bergamaschi, Riccardo Bellazzi, Arianna Dagliati

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.

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, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 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, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò, Barbara Di Camillo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Assessing a Personalized, Hybrid, and Generic Approach for Glucose Prediction in Type 1 Diabetes.

Pietro Bosoni, Morten Hasselstrøm Jensen, Riccardo Bellazzi, Simon Lebech Cichosz

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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, September, 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, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo

Artif. Intell. Medicine, August, 2023

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

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

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

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

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

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

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018

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

2016

Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses.

Pietro Bosoni, Allan Tucker, Riccardo Bellazzi, Svetlana I. Nihtyanova, Christopher P. Denton

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016