Classification and Prediction of Clinical Improvement in Deep Brain Stimulation From Intraoperative Microelectrode Recor...
Published in IEEE Transactions on Biomedical Engineering
We present a random forest (RF) classification and regression technique to predict, intraoperatively, the unified Parkinson's disease rating scale (UPDRS) improvement after deep brain stimulation (DBS). We hypothesized that a data-informed combination of features extracted from intraoperative microelectrode recordings (MERs) can predict the motor i...
