Publication:
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].

Simple item page
dc.contributor.authorDe Brouwer, Edward
dc.contributor.authorBecker, Thijs
dc.contributor.authorMoreau, Yves
dc.contributor.authorHavrdova, Eva Kubala
dc.contributor.authorTrojano, Maria
dc.contributor.authorEichau, Sara
dc.contributor.authorOzakbas, Serkan
dc.contributor.authorOnofrj, Marco
dc.contributor.authorGrammond, Pierre
dc.contributor.authorKuhle, Jens
dc.contributor.authorKappos, Ludwig
dc.contributor.authorSola, Patrizia
dc.contributor.authorCartechini, Elisabetta
dc.contributor.authorLechner-Scott, Jeannette
dc.contributor.authorAlroughani, Raed
dc.contributor.authorGerlach, Oliver
dc.contributor.authorKalincik, Tomas
dc.contributor.authorGranella, Franco
dc.contributor.authorGrand'Maison, Francois
dc.contributor.authorBergamaschi, Roberto
dc.contributor.authorSá, Maria José
dc.contributor.authorVan Wijmeersch, Bart
dc.contributor.authorSoysal, Aysun
dc.contributor.authorSanchez-Menoyo, Jose Luis
dc.contributor.authorSolaro, Claudio
dc.contributor.authorBoz, Cavit
dc.contributor.authorIuliano, Gerardo
dc.contributor.authorBuzzard, Katherine
dc.contributor.authorAguera-Morales, Eduardo
dc.contributor.authorTerzi, Murat
dc.contributor.authorTrivio, Tamara Castillo
dc.contributor.authorSpitaleri, Daniele
dc.contributor.authorVan Pesch, Vincent
dc.contributor.authorShaygannejad, Vahid
dc.contributor.authorMoore, Fraser
dc.contributor.authorOreja-Guevara, Celia
dc.contributor.authorMaimone, Davide
dc.contributor.authorGouider, Riadh
dc.contributor.authorCsepany, Tunde
dc.contributor.authorRamo-Tello, Cristina
dc.contributor.authorPeeters, Liesbet
dc.date.accessioned2023-05-03T14:53:31Z
dc.date.available2023-05-03T14:53:31Z
dc.date.issued2021-11-05
dc.identifier.doi10.1016/j.cmpb.2021.106479
dc.identifier.essn1872-7565
dc.identifier.pmid34749246
dc.identifier.unpaywallURLhttps://documentserver.uhasselt.be//bitstream/1942/36136/1/1-s2.0-S0169260721005538-main.pdf
dc.identifier.urihttp://hdl.handle.net/10668/22137
dc.journal.titleComputer methods and programs in biomedicine
dc.journal.titleabbreviationComput Methods Programs Biomed
dc.language.isoen
dc.organizationHospital Universitario Reina Sofía
dc.page.number106479
dc.pubmedtypePublished Erratum
dc.rights.accessRightsopen access
dc.titleCorrigendum 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].
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number213
dspace.entity.typePublication

Files

Collections

SAS - Hospital Universitario Reina Sofía

© 2023 – Repositorio Institucional de Salud de Andalucía - Fundación Pública Andaluza Progreso y Salud - Consejería de Salud y Consumo de la Junta de Andalucía