Prediction of the information processing speed performance in multiple sclerosis using a machine learning approach in a large multicenter magnetic resonance imaging data set.

Data harmonization Before data harmonization, ANCOVA results showed highly significant differences in MRI‐derived volumes among different INNI centers ( p ‐values <10 −3 for all structures except for NT2LV in the training/validation set and p ‐values <10 −2 for all structures except for NT2LV and NCaudmV in the test set).

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