- Machine learning Modeling of Time-dependent Patient Trajectories(2023)
Auteurs: Edward De Brouwer, Yves Moreau
- Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series(2023)
Auteurs: Edward De Brouwer
- Updated Results of the COVID-19 in MS Global Data Sharing Initiative Anti-CD20 and Other Risk Factors Associated With COVID-19 Severity(2022)
Auteurs: Ashkan Pirmani, Edward De Brouwer, Yves Moreau
- Severity of COVID19 infection among patients with multiple sclerosis treated with interferon-β(2022)
Auteurs: Ashkan Pirmani, Edward De Brouwer, Yves Moreau
- Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO).(2022)
Auteurs: Ashkan Pirmani, Edward De Brouwer, Murat Akand, Frank Van der Aa, Joris Vermeesch, Roel Wuyts, Yves Moreau
Pagina's: 829 - 833
- Expressive Graph Informer Networks(2022)
Auteurs: Ádám Arany, Edward De Brouwer, Yves Moreau
Pagina's: 198 - 212
Aantal pagina's: 15
- Associations of Disease-Modifying Therapies With COVID-19 Severity in Multiple Sclerosis(2021)
Auteurs: Edward De Brouwer, Yves Moreau, Ashkan Pirmani
Pagina's: E1870 - E1885
- Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression(2021)
Auteurs: Edward De Brouwer, Yves Moreau
- Multiple Sclerosis Data Alliance - A global multi-stakeholder collaboration to scale-up real world data research(2021)
Auteurs: Yves Moreau, Ashkan Pirmani, Edward De Brouwer
- First results of the COVID-19 in ms global data sharing initiative suggest anti-CD20 dmts are associated with worse covid-19 outcomes(2020)
Auteurs: S Simpson-Yap, Edward De Brouwer, T Kalincik, N Rijke, J Hillert, C Walton, G Edan, Y Moreau, T Spelman, L Geys, et al.
Pagina's: 48 - 49