The Use of Data from the Parkinson's KinetiGraph to Identify Potential Candidates for Device Assisted Therapies.

ABSTRACT: Device-assisted therapies (DAT) benefit people with Parkinsons Disease (PwP) but many referrals for DAT are unsuitable or too late, and a screening tool to aid in identifying candidates would be helpful. This study aimed to produce such a screening tool by building a classifier that models specialist identification of suitable DAT candidates. To our knowledge, this is the first objective decision tool for managing DAT referral. Subjects were randomly assigned to either a construction set (n = 112, to train, develop, cross validate, and then evaluate the classifier's performance) or to a test set (n = 60 to test the fully specified classifier), resulting in a sensitivity and specificity of 89% and 86.6%, respectively. The classifier's performance was then assessed in PwP who underwent deep

SUBMITTER: Khodakarami H 

PROVIDER: S-EPMC6568025 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature