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]

Authors :: Thijs Becker
Celia Oreja-Guevara
Francois Grand'Maison
Ludwig Kappos
Yves Moreau
Vincent Van Pesch
Jens Kuhle
Jose Luis Sanchez-Menoyo
Riadh Gouider
Liesbet M. Peeters
Patrizia Sola
Jeannette Lechner-Scott
Tomas Kalincik
Murat Terzi
Raed Alroughani
Sara Eichau
Bart Van Wijmeersch
Serkan Ozakbas
Daniele Spitaleri
Fraser Moore
Edward De Brouwer
Tünde Csépány
Pierre Grammond
Maria Trojano
Franco Granella
Cavit Boz
Davide Maimone
Tamara Castillo Trivio
Oliver Gerlach
Marco Onofrj
Vahid Shaygannejad
Roberto Bergamaschi
Aysun Soysal
Cristina Ramo-Tello
Gerardo Iuliano
Claudio Solaro
Elisabetta Cartechini
Eduardo Aguera-Morales
Katherine Buzzard
Eva Havrdova
Maria José Sá
Ramo-Tello, Cristina/0000-0001-8643-5053
Source :: Computer Methods and Programs in Biomedicine. 213:106479
Publication Year :: 2022
Publisher :: Elsevier BV, 2022.

Subjects :: medicine.medical_specialty
Computer science
business.industry
MEDLINE
Health Informatics
Programming method
Computer Science Applications
Text mining
medicine
Disability progression
Medical physics
business
Software
Biomedicine
Volume (compression)

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