Predicting disease progression in multiple sclerosis with clinically accessible information and technology
Tom Fuchs, Menno M. Schoonheim, Eva M. M. Strijbis, Julia R. Jelgerhuis et autres
BACKGROUND: Predicting disease progression at the individual level is essential for personalized medicine. We previously developed machine-learning tools to estimate 5-year progression risk in people with multiple sclerosis (PwMS). Such models should account for disease-modifying therapy (DMT) and objective outcome definitions. METHODS: …
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2 citations
Journal of Neurology