Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach

摘要

ObjectiveIs it possible to predict the severity staging of a Parkinson's disease (PD) patient using scores of non-motor symptoms? This is the kickoff question for a machine learning approach to classify two widely known PD severity indexes using individual tests from a broad set of non-motor PD clinical scales only.