Demonstrates machine-learning identifies advanced disability in multiple sclerosis, indicating improved diagnosis methods.
To develop and internally validate a clinically deployable supervised machine-learning (ML) model for identifying advanced disability in multiple sclerosis (MS), defined as Expanded Disability Status Scale (EDSS) ≥ 6, using routinely collected clinical and magnetic resonance imaging (MRI) variables; and to quantify the marginal discriminative contribution of MRI, particularly cervical-cord metrics, beyond clinical features.
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Ghaffary et al. (2026) studied this question.
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