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Predicting disease severity in multiple sclerosis using multimodal data and machine learning.
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. Andorra M, et al. Among authors: brandt a. J Neurol. 2024 Mar;271(3):1133-1149. doi: 10.1007/s00415-023-12132-z. Epub 2023 Dec 22. J Neurol. 2024. PMID: 38133801 Free PMC article.
Correlation of self-assessed fatigue and alertness in multiple sclerosis.
Weinges-Evers N, Brandt AU, Bock M, Pfueller CF, Dörr J, Bellmann-Strobl J, Scherer P, Urbanek C, Boers C, Ohlraun S, Zipp F, Paul F. Weinges-Evers N, et al. Mult Scler. 2010 Sep;16(9):1134-40. doi: 10.1177/1352458510374202. Epub 2010 Jul 7. Mult Scler. 2010. PMID: 20610494
1,582 results