Predicting response to motor therapy in chronic stroke patients using Machine Learning
Ceren Tozlu, Dylan J. Edwards, Aaron D. Boes, Douglas Labar, K. Zoe Tsagaris, Joshua Silverstein, Heather Pepper Lane, Mert Rory Sabuncu, Charles Liu, Amy F. Kuceyeski
This study uses machine learning to predict motor improvement in chronic stroke patients after therapy, finding that pre-intervention assessments and motor thresholds are key predictors.
bioRxiv · Nov 6, 2018 · PreprintNeuroscience