Published in
Elsevier, Computer Methods and Programs in Biomedicine, (208), p. 106180, 2021
DOI: 10.1016/j.cmpb.2021.106180
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Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression
Journal article published in 2021 by
Edward De Brouwer 
,
Thijs Becker ,
Yves Moreau,
Eva Kubala Havrdova,
Maria Trojano,
Sara Eichau,
Serkan Ozakbas,
Marco Onofrj,
Pierre Grammond ,
Jens Kuhle,
Ludwig Kappos,
Patrizia Sola ,
Elisabetta Cartechini,
Jeannette Lechner-Scott,
Raed Alroughani
and other authors.
,
Thijs Becker ,
Yves Moreau,
Eva Kubala Havrdova,
Maria Trojano,
Sara Eichau,
Serkan Ozakbas,
Marco Onofrj,
Pierre Grammond ,
Jens Kuhle,
Ludwig Kappos,
Patrizia Sola ,
Elisabetta Cartechini,
Jeannette Lechner-Scott,
Raed Alroughani
and other authors.
This paper was not found in any repository, but could be made available legally by the author.
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