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]. (January 2022)

• Record Type: Journal Article
• Authors: De Brouwer, Edward; Becker, Thijs; Moreau, Yves; Havrdova, Eva Kubala; Trojano, Maria; Eichau, Sara; Ozakbas, Serkan; Onofrj, Marco; Grammond, Pierre; Kuhle, Jens; Kappos, Ludwig; Sola, Patrizia; Cartechini, Elisabetta; Lechner-Scott, Jeannette; Alroughani, Raed; Gerlach, Oliver; Kalincik, Tomas; Granella, Franco; Grand'Maison, Francois; Bergamaschi, Roberto; Sá, Maria José; Van Wijmeersch, Bart; Soysal, Aysun; Sanchez-Menoyo, Jose Luis; Solaro, Claudio; Boz, Cavit; Iuliano, Gerardo; Buzzard, Katherine; Aguera-Morales, Eduardo; Terzi, Murat; Trivio, Tamara Castillo; Spitaleri, Daniele; Van Pesch, Vincent; Shaygannejad, Vahid; Moore, Fraser; Oreja-Guevara, Celia; Maimone, Davide; Gouider, Riadh; Csepany, Tunde; Ramo-Tello, Cristina; Peeters, Liesbet;
• Is Part Of: Computer methods and programs in biomedicine. Volume 213(2022)
• Publication Date: 2022-01
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2021.106479
• Languages: English
• ISSNs: 0169-2607