| Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis AS Martins, M Gromicho, S Pinto, M de Carvalho, SC Madeira IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (5 …, 2021 | 14 | 2021 |
| 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 | 6 | 2023 |
| 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 | 3 | 2023 |
| Survival analysis for multiple sclerosis: predicting risk of disease worsening R Branco, J Valente, A Martins, D Soares, E Castanho, S Madeira, ... CLEF, 2023 | 3 | 2023 |
| Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. S Nunes, RT Sousa, F Serrano, R Branco, DF Soares, AS Martins, ... CLEF (Working Notes), 1256-1268, 2022 | 3 | 2022 |
| Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. R Branco, DF Soares, AS Martins, E Auletta, EN Castanho, S Nunes, ... CLEF (Working Notes), 1211-1227, 2022 | 2 | 2022 |
| Learning models using disease progression patterns for prognostic prediction in ALS ASS Martins | | 2021 |
