Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI | Roca, P.
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Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

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Roca, P. | Attye, A. | Colas, L. | Tucholka, A. | Rubini, P. | Cackowski, S. | Ding, J. | Budzik, J.-F. | Renard, F. | Doyle, S. | Barbier, E.L. | Bousaid, I. | Casey, R. | Vukusic, S. | Lassau, N. | Verclytte, S. | Cotton, F.

Edité par HAL CCSD ; Elsevier

International audience. The purpose of this study was to create an algorithm that combines multiple machine-learning techniques to predict the expanded disability status scale (EDSS) score of patients with multiple sclerosis at two years solely based on age, sex and fluid attenuated inversion recovery (FLAIR) MRI data.

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