Online ISSN: 2515-8260

Keywords : Artificial Neural Network(ANN)

Performance Study of ML Models and Neural Networks for Detection of Parkinson Disease using Dysarthria Symptoms

Harisudha Kuresan; Dhanalakshmi Samiappan; Arathy Jeevan; Sukirti Gupta

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 3, Pages 767-779

Parkinson Disease (PD) is brain disorder that affects the central nervous system
that results in damage of nerve cells causing dopamine to drop. PD has a severe effect on
vocal features termed as Dysarthria symptoms including varied pitch, extended pauses,
monotonous and speaking slowly or with a slur. In this paper, a dataset containing various
vocal features are taken as input to analyze the performance of various Machine Learning
algorithms including Naive Bayes, Random Forest Classifier, Support Vector Machines
(SVM), Linear Regression, K Nearest Neighbor (KNN) and Neural Networks such as ANN
and LSTM. The best classification accuracy was obtained by ANN around 90.00%.