Patient-reported outcomes as predictors of disability evolution in Multiple Sclerosis: An interpretable machine learning approach

Federica Di Antonio, Giampaolo Brichetto, Andrea Tacchino, Ludovico Pedullà, Jessica Podda, Erica Grange, Alice Bollini, Margherita Monti Bragadin, Valeria Prada, Matteo Bauckneht, Silvia Morbelli, Andrea Chincarini

Multiple Sclerosis Journal

Published online on January 31, 2026

Abstract

Multiple Sclerosis Journal, Ahead of Print.
Background:Disability accrual in multiple sclerosis (MS) is highly variable and challenging to predict, complicating personalised care. Integrating machine learning (ML) with patient-reported outcomes (PROs) and clinician-assessed outcomes (CAOs) may ...