| Predicting non-invasive ventilation in ALS patients using stratified disease progression groups S Pires, M Gromicho, S Pinto, M Carvalho, SC Madeira 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 748-757, 2018 | 25 | 2018 |
| Unravelling disease presentation patterns in als using biclustering for discriminative meta-features discovery J Matos, S Pires, H Aidos, M Gromicho, S Pinto, M de Carvalho, ... International Work-Conference on Bioinformatics and Biomedical Engineering …, 2020 | 9 | 2020 |
| Patient stratification using clinical and patient profiles: Targeting personalized prognostic prediction in ALS S Pires, M Gromicho, S Pinto, M de Carvalho, SC Madeira International Work-Conference on Bioinformatics and Biomedical Engineering …, 2020 | 9 | 2020 |
| A supervised learning approach for prognostic prediction in als using disease progression groups and patient profiles SIF Pires | 4 | 2018 |
| Executive function assessment in parkinson's disease patients using mobile devices E Bigotte, V Vasconcelos, S Pires, T Fonseca 2016 11th Iberian Conference on Information Systems and Technologies (CISTI …, 2016 | 3 | 2016 |
| Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors T Pereira, S Pires, M Gromicho, S Pinto, M de Carvalho, SC Madeira arXiv preprint arXiv:1907.13070, 2019 | 1 | 2019 |
| Predicting disease progression in Amyotrophic Lateral Sclerosis using Machine Learning: Learning from longitudinal data using time windows and progression patterns SC Madeira, S Pires, M Mueller, M Figueiral, M Gomicho, M de Carvalho EUROPEAN JOURNAL OF CLINICAL INVESTIGATION 49, 40-40, 2019 | | 2019 |
Sara C. MadeiraAssociate Professor,LASIGE,Departamento de Informática,Faculdade de Ciências,Universidade de LisboaVerified email at fc.ul.pt
