Marta Gromicho
Orcid: 0000-0003-2111-4579
According to our database1,
Marta Gromicho
authored at least 20 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
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., December, 2024
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.
J. Biomed. Semant., December, 2024
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
2023
iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge.
Dataset, November, 2023
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine, August, 2023
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
2022
Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics, 2022
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
2021
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics, 2021
2020
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS.
Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020
Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors.
CoRR, 2019
2018
Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018