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Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180].
De Brouwer E, Becker T, Moreau Y, Havrdova EK, Trojano M, Eichau S, Ozakbas S, Onofrj M, Grammond P, Kuhle J, Kappos L, Sola P, Cartechini E, Lechner-Scott J, Alroughani R, Gerlach O, Kalincik T, Granella F, Grand'Maison F, Bergamaschi R, Sá MJ, Van Wijmeersch B, Soysal A, Sanchez-Menoyo JL, Solaro C, Boz C, Iuliano G, Buzzard K, Aguera-Morales E, Terzi M, Trivio TC, Spitaleri D, Van Pesch V, Shaygannejad V, Moore F, Oreja-Guevara C, Maimone D, Gouider R, Csepany T, Ramo-Tello C, Peeters L. De Brouwer E, et al. Among authors: kappos l. Comput Methods Programs Biomed. 2022 Jan;213:106479. doi: 10.1016/j.cmpb.2021.106479. Epub 2021 Nov 5. Comput Methods Programs Biomed. 2022. PMID: 34749246 Free article. No abstract available.
812 results