Predicting disease severity in Multiple Sclerosis using multimodal data and machine learning

Creators: Andorra M; Freire A; Zubizarreta I; de Rosbo NK; Bos SD; Rinas M; Høgestøl EA; de Rodez Benavent SA; Berge T; Brune-Ingebretse S; Ivaldi F; Cellerino M; Pardini M; Vila G; Pulido-Valdeolivas I; Martinez-Lapiscina EH; Llufriu S; Saiz A; Blanco Y; Martinez-Heras E; Solana E; Bäcker-Koduah P; Behrens J; Kuchling J; Asseyer S; Scheel M; Chien C; Zimmermann H; Motamedi S; Kauer-Bonin J; Brandt A; Saez-Rodriguez J; Alexopoulos LG; Paul F; Harbo HF; Shams H; Oksenberg J; Uccelli A; Baeza-Yates R; Villoslada P.

Others:: Andorra, M; Freire, A; Zubizarreta, I; de Rosbo, Nk; Bos, Sd; Rinas, M; Høgestøl, Ea; de Rodez Benavent, Sa; Berge, T; Brune-Ingebretse, S; Ivaldi, F; Cellerino, M; Pardini, M; Vila, G; Pulido-Valdeolivas, I; Martinez-Lapiscina, Eh; Llufriu, S; Saiz, A; Blanco, Y; Martinez-Heras, E; Solana, E; Bäcker-Koduah, P; Behrens, J; Kuchling, J; Asseyer, S; Scheel, M; Chien, C; Zimmermann, H; Motamedi, S; Kauer-Bonin, J; Brandt, A; Saez-Rodriguez, J; Alexopoulos, Lg; Paul, F; Harbo, Hf; Shams, H; Oksenberg, J; Uccelli, A; Baeza-Yates, R; Villoslada, P.

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