A Multiple Feature Selection based Parkinson’s Disease Diagnostic System Using Deep Learning Neural Network Classifier

Volume 19 No 7 (2021)

Dr.N. Suresh Kumar, Dr.M. Senthamil Selvi , D. Gayathri

DOI: 10.14704/nq.2021.19.7.NQ21104

Abstract

Parkinson’s disease is one among the most common neurological disorder that is increasing day by day. Parkinson’s disease could become more dangerous in not treated well in time. Hence, early and automated detection of Parkinson’s disease is greatly essential. In current research, five classifiers such as DT, NB, NN, RF and SVM are exploited for PD detection. Nonetheless, more time is greatly necessitated for using further classifiers for PD detection

Keywords

Neurological Disorder, Brain Nerve Cells, Principal Component Analysis, Feature Subset Selection, and Deep Neural Network.

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