BOSONI, PIETRO
BOSONI, PIETRO
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
2023-01-01 Tavazzi, E.; Longato, E.; Vettoretti, M.; Aidos, H.; Trescato, I.; Roversi, C.; Martins, A. S.; Castanho, E. N.; Branco, R.; Soares, D. F.; Guazzo, A.; Birolo, G.; Pala, D.; Bosoni, P.; Chio, A.; Manera, U.; de Carvalho, M.; Miranda, B.; Gromicho, M.; Alves, I.; Bellazzi, R.; Dagliati, A.; Fariselli, P.; Madeira, S. C.; Di Camillo, B.
Combining unsupervised and supervised learning for discovering disease subclasses
2016-01-01 Bosoni, P.; Tucker, A.; Bellazzi, R.; Nihtyanova, S. I.; Denton, C. P.
Continuous Markov Models for Analyzing the Effect of Environmental Personal Exposure on Multiple Sclerosis Progression
2024-01-01 Vazifehdan, M.; Bosoni, P.; Tavazzi, E.; Bellazzi, R.; Bergamaschi, R.; Dagliati, A.
Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data
2020-01-01 Bosoni, P.; Meccariello, M.; Calcaterra, V.; Larizza, C.; Sacchi, L.; Bellazzi, R.
Exploring the inter-subject variability in the relationship between glucose monitoring metrics and glycated hemoglobin for pediatric patients with type 1 diabetes
2021-01-01 Bosoni, Pietro; Calcaterra, Valeria; Tibollo, Valentina; Malovini, Alberto; Zuccotti, Gianvincenzo; Mameli, Chiara; Sacchi, Lucia; Bellazzi, Riccardo; Larizza, Cristiana
Impaired Glucose-Insulin Metabolism in Multisystem Inflammatory Syndrome Related to SARS-CoV-2 in Children
2021-01-01 Calcaterra, Valeria; Bosoni, Pietro; Dilillo, Dario; Mannarino, Savina; Fiori, Laura; Fabiano, Valentina; Carlucci, Patrizia; Di Profio, Elisabetta; Verduci, Elvira; Mameli, Chiara; Pelizzo, Gloria; Zoia, Elena; Sacchi, Lucia; Larizza, Cristiana; Zuccotti, Gianvincenzo
Latent class multi-label classification to identify subclasses of disease for improved prediction
2019-01-01 Alyousef, A. A.; Nihtyanova, S.; Denton, C. P.; Bosoni, P.; Bellazzi, R.; Tucker, A.
Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease
2018-01-01 Alyousef, Awad A.; Nihtyanova, Svetlana; Denton, Chris; Bosoni, Pietro; Bellazzi, Riccardo; Tucker, Allan
Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis
2023-01-01 Buonocore, T. M.; Bosoni, P.; Nicora, G.; Vazifehdan, M.; Bellazzi, R.; Parimbelli, E.; Dagliati, A.
Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities
2024-01-01 Pala, Daniele; Petrini, Giorgia; Bosoni, Pietro; Larizza, Cristiana; Quaglini, Silvana; Lanzola, Giordano
Temporal data analytics for diabetes monitoring with applications on pediatric and adult patients
2022-03-17 Bosoni, Pietro
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review | 1-gen-2023 | Tavazzi, E.; Longato, E.; Vettoretti, M.; Aidos, H.; Trescato, I.; Roversi, C.; Martins, A. S.; Castanho, E. N.; Branco, R.; Soares, D. F.; Guazzo, A.; Birolo, G.; Pala, D.; Bosoni, P.; Chio, A.; Manera, U.; de Carvalho, M.; Miranda, B.; Gromicho, M.; Alves, I.; Bellazzi, R.; Dagliati, A.; Fariselli, P.; Madeira, S. C.; Di Camillo, B. | |
| Combining unsupervised and supervised learning for discovering disease subclasses | 1-gen-2016 | Bosoni, P.; Tucker, A.; Bellazzi, R.; Nihtyanova, S. I.; Denton, C. P. | |
| Continuous Markov Models for Analyzing the Effect of Environmental Personal Exposure on Multiple Sclerosis Progression | 1-gen-2024 | Vazifehdan, M.; Bosoni, P.; Tavazzi, E.; Bellazzi, R.; Bergamaschi, R.; Dagliati, A. | |
| Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data | 1-gen-2020 | Bosoni, P.; Meccariello, M.; Calcaterra, V.; Larizza, C.; Sacchi, L.; Bellazzi, R. | |
| Exploring the inter-subject variability in the relationship between glucose monitoring metrics and glycated hemoglobin for pediatric patients with type 1 diabetes | 1-gen-2021 | Bosoni, Pietro; Calcaterra, Valeria; Tibollo, Valentina; Malovini, Alberto; Zuccotti, Gianvincenzo; Mameli, Chiara; Sacchi, Lucia; Bellazzi, Riccardo; Larizza, Cristiana | |
| Impaired Glucose-Insulin Metabolism in Multisystem Inflammatory Syndrome Related to SARS-CoV-2 in Children | 1-gen-2021 | Calcaterra, Valeria; Bosoni, Pietro; Dilillo, Dario; Mannarino, Savina; Fiori, Laura; Fabiano, Valentina; Carlucci, Patrizia; Di Profio, Elisabetta; Verduci, Elvira; Mameli, Chiara; Pelizzo, Gloria; Zoia, Elena; Sacchi, Lucia; Larizza, Cristiana; Zuccotti, Gianvincenzo | |
| Latent class multi-label classification to identify subclasses of disease for improved prediction | 1-gen-2019 | Alyousef, A. A.; Nihtyanova, S.; Denton, C. P.; Bosoni, P.; Bellazzi, R.; Tucker, A. | |
| Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease | 1-gen-2018 | Alyousef, Awad A.; Nihtyanova, Svetlana; Denton, Chris; Bosoni, Pietro; Bellazzi, Riccardo; Tucker, Allan | |
| Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis | 1-gen-2023 | Buonocore, T. M.; Bosoni, P.; Nicora, G.; Vazifehdan, M.; Bellazzi, R.; Parimbelli, E.; Dagliati, A. | |
| Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities | 1-gen-2024 | Pala, Daniele; Petrini, Giorgia; Bosoni, Pietro; Larizza, Cristiana; Quaglini, Silvana; Lanzola, Giordano | |
| Temporal data analytics for diabetes monitoring with applications on pediatric and adult patients | 17-mar-2022 | Bosoni, Pietro |