Accurate classification of secondary progression in multiple sclerosis using a decision tree.

Ryan RamanujamFeng ZhuKatharina FinkVirginija Danylaité KarrenbauerJohannes LorscheiderPascal BenkertElaine KingwellHelen TremlettJan HillertAli Manouchehrinianull null

Published in: Multiple sclerosis (Houndmills, Basingstoke, England) (2020)

The classifier can be used to standardize definitions of disease phenotype across different cohorts. Clinically, this model could assist neurologists by providing additional information.

Keyphrases

multiple sclerosis
machine learning
deep learning
high resolution
white matter
social media