Computational Intelligence and Neuroscience / 2013 / Article / Fig 4

Research Article

Finger Tapping Clinimetric Score Prediction in Parkinson's Disease Using Low-Cost Accelerometers

Figure 4

A global model was trained based on the 86 observations, each one of them being associated with 18 features as well as one SMD consensus score. Since all the observations were used for the construction of the global model, the predictive performance of the model could not be evaluated on an independent dataset.

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.