Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression

Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Havrdová, María Trojano, Sara Eichau, Serkan Özakbaş, Marco Onofrj, Pierre Grammond, Jens Kühle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner‐Scott, Raed Alroughani, Oliver Gerlach, Tomáš Kalinčík, Franco Granella, François Grand’Maison, Roberto Bergamaschi, María José Sá, Bart Van Wijmeersch, Aysun Soysal, José Luis Sánchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Agüera, Murat Terzi, Tamara Castillo‐Triviño, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja‐Guevara, Davide Maimone, Riadh Gouider, Tünde Csépány, Cristina Ramo‐Tello, Liesbet M. Peeters