| Title: | Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180] |
Authors: | DE BROUWER, Edward
BECKER, Thijs
Moreau, Yves
Havrdova, Eva Kubala
Trojano, Maria
Eichau, Sara
Ozakbas, Serkan
Onofrj, Marco
Grammond, Pierre
Kuhle, Jens
Kappos, Ludwig
Sola, Patrizia
Cartechini, Elisabetta
Lechner-Scott, Jeannette
Alroughani, Raed
Gerlach, Oliver
Kalincik, Tomas
Granella, Franco
Grand'Maison, Francois
VAN WIJMEERSCH, Bart
Bergamaschi, Roberto
Sá, Maria José
Soysal, Aysun
Sanchez-Menoyo, Jose Luis
Solaro, Claudio
Boz, Cavit
Iuliano, Gerardo
Buzzard, Katherine
Aguera-Morales, Eduardo
Terzi, Murat
Trivio, Tamara Castillo
Spitaleri, Daniele
Van Pesch, Vincent
Shaygannejad, Vahid
Moore, Fraser
Oreja-Guevara, Celia
Maimone, Davide
Gouider, Riadh
Csepany, Tunde
Ramo-Tello, Cristina
PEETERS, Liesbet |
Issue Date: | 2022 |
Publisher: | ELSEVIER IRELAND LTD |
Source: | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 213 , (Art N° 106479) |
Notes: | De Brouwer, E (corresponding author), Katholieke Univ Leuven, ESAT STADIUS, B-3001 Leuven, Belgium.
Edward.debrouwer@esat.kuleuven.be |
Document URI: | http://hdl.handle.net/1942/36136 |
ISSN: | 0169-2607 |
e-ISSN: | 1872-7565 |
DOI: | 10.1016/j.cmpb.2021.106479 |
Category: | A1 |
Type: | Journal Contribution |
| Appears in Collections: | Research publications
|
