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Marta Gromicho
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2020 – today
- 2024
- [j6]Guglielmo Faggioli, Laura Menotti
, Stefano Marchesin, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Marta Gromicho, Umberto Manera, Eleonora Tavazzi, Giorgio Maria Di Nunzio, Gianmaria Silvello
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology. J. Biomed. Semant. 15(1): 16 (2024) - [j5]Alessandro Guazzo, Michele Atzeni, Elena Idi, Isotta Trescato, Erica Tavazzi, Enrico Longato, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Martina Vettoretti, Barbara Di Camillo:
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study. BMC Medical Informatics Decis. Mak. 24(1): 318 (2024) - [c11]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:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. CLEF (2) 2024: 118-139 - [c10]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:
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2024: 1312-1331 - 2023
- [j4]Erica Tavazzi
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artif. Intell. Medicine 142: 102588 (2023) - [c9]Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. CLEF 2023: 343-369 - [c8]Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro:
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2023: 1123-1164 - [d1]Guglielmo Faggioli
iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. Zenodo, 2023 - 2022
- [j3]Diogo F. Soares
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis. J. Biomed. Informatics 134: 104172 (2022) - [j2]Andreia S. Martins
Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2572-2583 (2022) - [c7]Alessandro Guazzo, Isotta Trescato
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. CLEF 2022: 395-422 - [c6]Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro:
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2022: 1130-1210 - 2021
- [j1]Tiago Leão, Sara C. Madeira
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis. J. Biomed. Informatics 117: 103730 (2021) - 2020
- [c5]André Ferreira
Predictive Medicine Using Interpretable Recurrent Neural Networks. ICPR Workshops (1) 2020: 187-202 - [c4]Joana Matos
Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery. IWBBIO 2020: 517-528 - [c3]Sofia Pires
Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS. IWBBIO 2020: 529-541 - [c2]Diogo F. Soares
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS. PACBB 2020: 112-122
2010 – 2019
- 2019
- [i1]Telma Pereira, Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira:
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors. CoRR abs/1907.13070 (2019) - 2018
- [c1]Sofia Pires, Marta Gromicho
Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups. ICDM Workshops 2018: 748-757
Coauthor Index
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last updated on 2024-11-07 21:29 CET by the dblp team
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