Browse > Article
http://dx.doi.org/10.9717/kmms.2016.19.2.209

Performance Comparison of Algorithm through Classification of Parkinson's Disease According to the Speech Feature  

Chung, Jae Woo (Dept. of Medical IT Marketing, Eulji University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.2, 2016 , pp. 209-214 More about this Journal
Abstract
The purpose of this study was to classify healty persons and Parkinson disease patients from the vocal characteristics of healty persons and the of Parkinson disease patients using Machine Learning algorithms. So, we compared the most widely used algorithms for Machine Learning such as J48 algorithm and REPTree algorithm. In order to evaluate the classification performance of the two algorithms, the results were compared with depending on vocal characteristics. The classification performance of depending on vocal characteristics show 88.72% and 84.62%. The test results showed that the J48 algorithms was superior to REPTree algorithms.
Keywords
Data Mining; Weka; Machine Learning; Algorithm; Parkinson's disease;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 C4.5Algorithm, http://en.wikipedia.org/ wiki/C4.5_algorithm (accessed Dec, 22, 2015).
2 S. Lee and R.W. Park, "Basic Concepts and Principles of Data Mining in Clinical Practice," Journal of Korean Society of Medical Informatics, Vol. 15, No. 2, pp. 175-189, 2009.   DOI
3 S.C. Park, M.E. Lee, S.H. Kim, I.S. Na, and Y. Chen, "Machine Learning for Medical Image Analysis," Korean Institute of Information Scientists and Engineers, Vol. 39, No. 3, pp. 163-174, 2012.
4 O. Lee, O. Ran, and D. Ko, "The Effects of Voice and Speech Intelligibility Improvements in Parkinson Disease by Training Loudness and Pitch," Korean Society of Speech Sciences, Vol. 8, No. 3, pp. 173-184, 2001.
5 K. Jung, M. Choi, M. Kim, Y. Won, and J. Hong, "Internet Application Traffic Classification Using Machine Learning Algorithm," The Committee on Korean Network Operations and Management Review, Vol. 10, No. 2, pp. 39-52, 2007.
6 S.Y. Kim, A Hybrid On-Line Signature Verification System Based on Feature Selection Using Data Mining, Master's Thesis of Inha University of Information Engineering, 2008.
7 S. Kalmegh, “Analysis of WEKA Data Mining Algorithm REPTree, Simple Cart and Random Tree for Classification of Indian News,” International Journal of Innovative Science & Technology, Vol. 2, No. 2, pp. 438-446, 2015.
8 Decision Tree Learning, http://jmvidal.cse.sc.edu/talks/decisiontrees/allslides.xml (accessed Dec, 28, 2015).
9 F. Yi, I. Moon, “K-means based Clustering Method with a Fixed Number of Cluster Members,” Journal of Korea Multimedia Society, Vol. 17, No. 10, pp. 1160-1170, 2014.   DOI