Prediction of disease progression and outcomes in multiple sclerosis with machine learning.

ABSTRACT: Multiple Sclerosis is a chronic inflammatory disease, affecting the Central Nervous System and leading to irreversible neurological damage, such as long term functional impairment and disability. It has no cure and the symptoms vary widely, depending on the affected regions, amount of damage, and the ability to activate compensatory mechanisms, which constitutes a challenge to evaluate and predict its course. Additionally, relapsing-remitting patients can evolve its course into a secondary progressive, characterized by a slow progression of disability independent of relapses. With clinical information from Multiple Sclerosis patients, we developed a machine learning exploration framework concerning this disease evolution, more specifically to obtain three predictions: one on conversion to

SUBMITTER: Pinto MF 

PROVIDER: S-EPMC7713436 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature