Prediction of Parkinson’s Disease through Supervised Classifiers

  • Neharika D Bala, S Anusuya

Abstract

Generally, the diseases are classified into communicable and non-communicable. The communicable disease are that, which can be spread easily from humans to humans while non-communicable disease does not spread. In this paper, we discuss about Parkinson's disease and its analysis using machine learning algorithms. The analysis of data is done using supervised machine learning approach. This paper aims at prediction of Parkinson’s disease

Published
2020-06-01
How to Cite
Neharika D Bala, S Anusuya. (2020). Prediction of Parkinson’s Disease through Supervised Classifiers. International Journal of Advanced Science and Technology, 29(7s), 4772 - 4779. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/25740