Open AccessPrediction of high and low disease activity in early MS patients using multiple kernel learning identifies importance of lateral ventricle intensity
Author(s) -
Claudia Chien,
Moritz Seiler,
Fabian Eitel,
Tanja SchmitzHübsch,
Friedemann Paul,
Kerstin Ritter
Publication year - 2022
Publication title -
multiple sclerosis journal - experimental translational and clinical
Language(s) - English
Resource type - Journals
ISSN - 2055-2173
DOI - 10.1177/20552173221109770
Subject(s) - multiple kernel learning , ventricle , medicine , radiomics , cohort , disease , magnetic resonance imaging , machine learning , artificial intelligence , radiology , computer science , support vector machine , kernel method
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