Machine learning method accurately classifies patients with MS, researchers say

Applying machine learning to functional MRI (fMRI) scans accurately classifies patients with multiples sclerosis (MS) by clinical phenotype, researchers say.

“Graph theoretical analysis is helping to shed light on brain functional reorganization in MS,” according to Dr Maria Assunta Rocca of the Vita-Salute San Raffaele University in Milan, Italy.

“Here, we developed advanced machine-learning methods to analyze resting state functional connectivity (RS FC) data and classify MS patients according to their disease phenotype.”