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Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study

Edward De Brouwer, Thijs Becker, Lorin Werthen-Brabants (UGent) , Pieter Dewulf (UGent) , Dimitrios Iliadis (UGent) , Cathérine Dekeyser (UGent) , Guy Laureys (UGent) , Bart Van Wijmeersch, Veronica Popescu, Tom Dhaene (UGent) , et al.
(2022) MedRXiv.
Author
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Citation

Please use this url to cite or link to this publication:

MLA
De Brouwer, Edward, et al. “Machine-Learning-Based Prediction of Disability Progression in Multiple Sclerosis : An Observational, International, Multi-Center Study.” MedRXiv, Cold Spring Harbor Laboratory, 2022, doi:10.1101/2022.09.08.22279617.
APA
De Brouwer, E., Becker, T., Werthen-Brabants, L., Dewulf, P., Iliadis, D., Dekeyser, C., … Peeters, L. (2022). Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study. https://doi.org/10.1101/2022.09.08.22279617
Chicago author-date
De Brouwer, Edward, Thijs Becker, Lorin Werthen-Brabants, Pieter Dewulf, Dimitrios Iliadis, Cathérine Dekeyser, Guy Laureys, et al. 2022. “Machine-Learning-Based Prediction of Disability Progression in Multiple Sclerosis : An Observational, International, Multi-Center Study.” MedRXiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2022.09.08.22279617.
Chicago author-date (all authors)
De Brouwer, Edward, Thijs Becker, Lorin Werthen-Brabants, Pieter Dewulf, Dimitrios Iliadis, Cathérine Dekeyser, Guy Laureys, Bart Van Wijmeersch, Veronica Popescu, Tom Dhaene, Dirk Deschrijver, Willem Waegeman, Bernard De Baets, Michiel Stock, Dana Horakova, Francesco Patti, Guillermo Izquierdo, Sara Eichau, Marc Girard, Alexandre Prat, Alessandra Lugaresi, Pierre Grammond, Tomas Kalincik, Raed Alroughani, Francois Grand’Maison, Olga Skibina, Murat Terzi, Jeannette Lechner-Scott, Oliver Gerlach, Samia J. Khoury, Elisabetta Cartechini, Vincent Van Pesch, Maria Jose Sa, Bianca Weinstock-Guttman, Yolanda Blanco, Radek Ampapa, Daniele Spitaleri, Claudio Solaro, Davide Maimone, Aysun Soysal, Gerardo Iuliano, Riadh Gouider, Tamara Castillo-Triviño, Jose Luis Sanchez-Menoyo, Anneke van der Walt, Jiwon Oh, Eduardo Aguera-Morales, Ayse Altintas, Abdullah Al-Asmi, Koen de Gans, Yara Fragoso, Tunde Csepany, Suzanne Hodgkinson, Norma Deri, Talal Al-Harbi, Bruce Taylor, Orla Gray, Patrice Lalive, Csilla Rozsa, Chris McGuigan, Allan Kermode, Angel Perez sempere, Simu Mihaela, Magdolna Simo, Todd Hardy, Danny Decoo, Stella Hughes, Nikolaos Grigoriadis, Attila Sas, Norbert Vella, Yves Moreau, and Liesbet Peeters. 2022. “Machine-Learning-Based Prediction of Disability Progression in Multiple Sclerosis : An Observational, International, Multi-Center Study.” MedRXiv. Cold Spring Harbor Laboratory. doi:10.1101/2022.09.08.22279617.
Vancouver
1.
De Brouwer E, Becker T, Werthen-Brabants L, Dewulf P, Iliadis D, Dekeyser C, et al. Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study. MedRXiv. Cold Spring Harbor Laboratory; 2022.
IEEE
[1]
E. De Brouwer et al., “Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study,” MedRXiv. Cold Spring Harbor Laboratory, 2022.
@misc{01GV5K7H74KESWFW241XX23SMF,
  author       = {{De Brouwer, Edward and Becker, Thijs and Werthen-Brabants, Lorin and Dewulf, Pieter and Iliadis, Dimitrios and Dekeyser, Cathérine and Laureys, Guy and Van Wijmeersch, Bart and Popescu, Veronica and Dhaene, Tom and Deschrijver, Dirk and Waegeman, Willem and De Baets, Bernard and Stock, Michiel and Horakova, Dana and Patti, Francesco and Izquierdo, Guillermo and Eichau, Sara and Girard, Marc and Prat, Alexandre and Lugaresi, Alessandra and Grammond, Pierre and Kalincik, Tomas and Alroughani, Raed and Grand’Maison, Francois and Skibina, Olga and Terzi, Murat and Lechner-Scott, Jeannette and Gerlach, Oliver and Khoury, Samia J. and Cartechini, Elisabetta and Van Pesch, Vincent and Sa, Maria Jose and Weinstock-Guttman, Bianca and Blanco, Yolanda and Ampapa, Radek and Spitaleri, Daniele and Solaro, Claudio and Maimone, Davide and Soysal, Aysun and Iuliano, Gerardo and Gouider, Riadh and Castillo-Triviño, Tamara and Sanchez-Menoyo, Jose Luis and van der Walt, Anneke and Oh, Jiwon and Aguera-Morales, Eduardo and Altintas, Ayse and Al-Asmi, Abdullah and de Gans, Koen and Fragoso, Yara and Csepany, Tunde and Hodgkinson, Suzanne and Deri, Norma and Al-Harbi, Talal and Taylor, Bruce and Gray, Orla and Lalive, Patrice and Rozsa, Csilla and McGuigan, Chris and Kermode, Allan and Perez sempere, Angel and Mihaela, Simu and Simo, Magdolna and Hardy, Todd and Decoo, Danny and Hughes, Stella and Grigoriadis, Nikolaos and Sas, Attila and Vella, Norbert and Moreau, Yves and Peeters, Liesbet}},
  language     = {{eng}},
  publisher    = {{Cold Spring Harbor Laboratory}},
  series       = {{MedRXiv}},
  title        = {{Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study}},
  url          = {{http://doi.org/10.1101/2022.09.08.22279617}},
  year         = {{2022}},
}
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