An improved approach for prediction of Parkinson's disease using machine learning techniques

@article{Challa2016AnIA,
  title={An improved approach for prediction of Parkinson's disease using machine learning techniques},
  author={Kamal Nayan Reddy Challa and Venkata Sasank Pagolu and Ganapati Panda and Babita Majhi},
  journal={2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)},
  year={2016},
  pages={1446-1451}
}
Parkinson's disease (PD) is one of the major public health problems in the world. It is a well-known fact that around one million people suffer from Parkinson's disease in the United States whereas the number of people suffering from Parkinson's disease worldwide is around 5 millions. Thus, it is important to predict Parkinson's disease in early stages so that early plan for the necessary treatment can be made. People are mostly familiar with the motor symptoms of Parkinson's disease, however… CONTINUE READING
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