Colato, E; van Dam, M; Pontillo, G; Moccia, M; Uher, T; Motyl, J; Vaneckova, M; Toosy, A; Foster, M; Collorone, S; Amato, MP; De Meo, E; Petracca, M; Inglese, M; Bianchi, A; Canellas, AR; Gallo, A; Enzinger, C; Pinter, D; Pareto, D; Hogestol, EA; Huerga, E; Solana, E; Anglada, E; Gonzalez-Escamilla, G; Mado, F; Nagels, G; Harbo, HF; Penner, IK; Palace, J; Sastre-Garriga, J; Hancock, L; Altieri, M; Pitteri, M; Rocca, MA; Arevalo, MJ; Sormani, MP; Calabrese, M; Filippi, M; Valsasina, P; Galioto, R; Benedict, R; Menendez, R; Wiest, R; Llufriu, S; Morrow, S; Groppa, S; Messina, S; Fuchs, T; Ciccarelli, O; Barkhof, F; Hulst, H; Schoonheim, M.
Identifying cognitive phenotypes in multiple sclerosis using machine learning models: a multicentre study
MULT SCLER J. 2023; 29: 24-27.-9th Joint ECTRIMS-ACTRIMS meeting; OCT 11-13, 2023; Milan, ITALY.
[Oral Communication]
Web of Science