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Machine-Learning-Based Prediction of Disability Progression in Multiple Sclerosis: an Observational, International, Multi-Center Study

Edward De Brouwer,Thijs Becker,Lorin Werthen-Brabants,Pieter Dewulf,Dimitrios Iliadis,Cathérine Dekeyser,Guy Laureys,Bart Van Wijmeersch,Veronica Popescu,Tom Dhaene,Dirk Deschrijver,Willem Waegeman,Bernard De Baets,Michiel Stock,Dana Horakova,Francesco Patti,Guillermo Izquierdo,Sara Eichau,Marc Girard,Alexandre Prat,Alessandra Lugaresi,Pierre Grammond,Tomas Kalincik,Raed Alroughani,Francois Grand'Maison,Olga Skibina,Murat Terzi,Jeannette Lechner-Scott,Oliver Gerlach,Samia J Khoury,Elisabetta Cartechini,Vincent Van Pesch,Maria José Sà,Bianca Weinstock-Guttman,Yolanda Blanco,Radek Ampapa,Daniele Spitaleri,Claudio Solaro,Davide Maimone,Aysun Soysal,Gerardo Iuliano,Riadh Gouider,Tamara Castillo-Triviño,José Luis Sánchez-Menoyo,Anneke van der Walt,Jiwon Oh,Eduardo Aguera-Morales,Ayse Altintas,Abdullah Al-Asmi,Koen de Gans,Yara Fragoso,Tunde Csepany,Suzanne Hodgkinson,Norma Deri,Talal Al-Harbi,Bruce Taylor,Orla Gray,Patrice Lalive,Csilla Rozsa,Chris McGuigan,Allan Kermode,Angel Pérez Sempere,Simu Mihaela,Magdolna Simo,Todd Hardy,Danny Decoo,Stella Hughes,Nikolaos Grigoriadis,Attila Sas,Norbert Vella,Yves Moreau,Liesbet Peeters

PLOS Digital Health（2024）

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Key words
Disability Assessment,Medical Image Analysis,Machine Learning,Automated Diagnosis
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