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Diogo F. Soares
Diogo F. Soares
LASIGE, Informática, Faculdade de Ciências, Universidade de Lisboa
Dirección de correo verificada de ciencias.ulisboa.pt
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Citado por
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Año
Towards triclustering-based classification of three-way clinical data: A case study on predicting non-invasive ventilation in als
D Soares, R Henriques, M Gromicho, S Pinto, M de Carvalho, SC Madeira
Practical Applications of Computational Biology & Bioinformatics, 14th …, 2021
152021
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-Invasive ventilation in Amyotrophic Lateral Sclerosis
DF Soares, R Henriques, M Gromicho, M de Carvalho, SC Madeira
Journal of Biomedical Informatics 134, 104172, 2022
92022
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
E Tavazzi, E Longato, M Vettoretti, H Aidos, I Trescato, C Roversi, ...
Artificial Intelligence in Medicine, 102588, 2023
52023
Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis
DF Soares, R Henriques, M Gromicho, M de Carvalho, SC Madeira
Scientific Reports 13 (1), 6182, 2023
42023
Survival analysis for multiple sclerosis: predicting risk of disease worsening
R Branco, J Valente, A Martins, D Soares, E Castanho, S Madeira, ...
CLEF, 2023
32023
Investigating the impact of environmental data on ALS prognosis with survival analysis
R Branco, D Soares, A Martins, J Valente, E Castanho, S Madeira, ...
CLEF, 2023
32023
Explaining artificial intelligence predictions of disease progression with semantic similarity
S Nunes, RT Sousa, F Serrano, R Branco, DF Soares, AS Martins, ...
CLEF, 1613-0073, 2022
32022
Hierarchical modelling for ALS prognosis: predicting the progression towards critical events
R Branco, DF Soares, AS Martins, E Auletta, EN Castanho, S Nunes, ...
CLEF, 1613-0073, 2022
22022
Comprehensive assessment of triclustering algorithms for three-way temporal data analysis
DF Soares, R Henriques, SC Madeira
Pattern Recognition, 110303, 2024
2024
Learning predictive models from temporal three-way data using triclustering: applications in clinical data analysis
DFM Soares
2020
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Artículos 1–10