Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning
C. M. Kanzler, I. Lamers, P. Feys, R. Gassert, O. Lambercy
This paper demonstrates the feasibility of predicting upper limb rehabilitation outcomes in multiple sclerosis using machine learning and digital health metrics, showing improved accuracy with non-linear models and sensorimotor data.
bioRxiv · Mar 26, 2020Bioengineering