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Computational and Mathematical Methods in Medicine
Volume 2017, Article ID 4201984, 11 pages
https://doi.org/10.1155/2017/4201984
Research Article

Dysphonic Voice Pattern Analysis of Patients in Parkinson’s Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods

1School of Information Science and Technology, Xiamen University, 422 Si Ming South Road, Xiamen, Fujian 361005, China
2Department of Rehabilitation, Zhongshan Hospital, Xiamen University, 201 Hubin South Road, Xiamen, Fujian 361004, China

Correspondence should be addressed to Yunfeng Wu; gro.eeei@uw.y and Jian Chen; nc.moc.liamdem@5naijnehc

Received 21 December 2016; Revised 8 March 2017; Accepted 6 April 2017; Published 3 May 2017

Academic Editor: Olaf Gefeller

Copyright © 2017 Yunfeng Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yunfeng Wu, Pinnan Chen, Yuchen Yao, et al., “Dysphonic Voice Pattern Analysis of Patients in Parkinson’s Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods,” Computational and Mathematical Methods in Medicine, vol. 2017, Article ID 4201984, 11 pages, 2017. https://doi.org/10.1155/2017/4201984.