Pattern recognition methods for multi stage classification of parkinson's disease utilizing voice features

@article{Caesarendra2015PatternRM,
  title={Pattern recognition methods for multi stage classification of parkinson's disease utilizing voice features},
  author={Wahyu Caesarendra and Farika T. Putri and Mochammad Ariyanto and Joga Dharma Setiawan},
  journal={2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)},
  year={2015},
  pages={802-807}
}
A number of papers has presented a pattern recognition method for Parkinson's Disease (PD) detection. However, the literatures only able to classify subjects as either healthy of suffering from PD. This paper presents a pattern recognition method for multi stage classification of PD utilizing voice features. 22 features are obtained from University of California-Irvine (UCI) data repository. These features are extracted using Principal Component Analysis (PCA) and Linear Discriminant Analysis… CONTINUE READING

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