| 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 | 22 | 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 142, 102588, 2023 | 21 | 2023 |
| Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening. R Branco, JB Valente, AS Martins, DF Soares, EN Castanho, SC Madeira, ... CLEF (Working Notes), 1199-1209, 2023 | 6 | 2023 |
| Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis. R Branco, DF Soares, AS Martins, JB Valente, EN Castanho, SC Madeira, ... CLEF (Working Notes), 1186-1198, 2023 | 5 | 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 | 4 | 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 | 3 | 2022 |
| Predicting the functional rating scale and self-assessment status of ALS patients with sensor data A Martins, D Amaral, E Castanho, D Soares, R Branco, S Madeira, ... CLEF, 2024 | 2 | 2024 |
| Learning models using disease progression patterns for prognostic prediction in ALS ASS Martins | | 2021 |
| Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis MP Roque, AS Martins, M Gromicho, M de Carvalho, SC Madeira, ... | | |
