An Intelligent Parkinson’s Disease Diagnostic System using EEG

Authors

  • T. S. Aravinth
  • E. Arunkumar
  • P. Archana

Abstract

Parkinson's disease (PD) one of the movement disorders which occur in the neurological activities, but the diagnosis of disease is quite challenging. Sometimes the diagnosis methods are difficult at the time of considering a motor and non-motor symptoms in PD patients. But it is highly risk to manage PD patients in medical management. To enhance that lot of research are focused on Machine Learning algorithmsfor long term approaches. Further this paper contributes different classification algorithms like K- Nearest Neighbour and Random Forest for continuous analysis of Parkinson’s disease using accuracy, sensitivity, and specificity. Also, it concluded that Radom Forest gives 10% accuracy than KNN algorithm.

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Published

2020-04-11

Issue

Section

Articles