DocumentCode :
1754071
Title :
Research for the Colon Cancer Based on the EMD and LS-SVM
Author :
Hong, Yuan ; Zeng-li, Liu ; Wei, He
Author_Institution :
Kunming Metall. Coll., Kunming, China
Volume :
1
fYear :
2011
fDate :
28-29 March 2011
Firstpage :
888
Lastpage :
891
Abstract :
On the account of the colon cancer genetic data signals are non-stationary and difficult to obtain a large number of cancer samples in the actual conditions, this text proposes a diagnostic research method of colon cancer based on EMD (empirical mode decomposition) combining with LS-SVM. Adopting the method of EMD decomposes the genetic signals of normal people and colon cancer patients. Figure out each IMF´s characteristic vector and regard them as the testing and training samples of LS-SVM. The testing results by classifying the colon cancer patients and normal people respectively show that the research approach of colon cancer based on EMD and LS-SVM has better classification results, which can achieve the goal of classifying in case of less samples. Those diagnosable and researching approaches propose a new method for the recognition of cancer.
Keywords :
cancer; least squares approximations; medical signal processing; signal classification; support vector machines; EMD; IMF characteristic vector; LS-SVM; colon cancer genetic data signals; colon cancer patients classification; diagnostic research method; empirical mode decomposition; Cancer; Colon; Genetics; Support vector machine classification; Testing; Training; LS-SVM; cancer; characteristic vector nonstationary; colon EMD;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
Type :
conf
DOI :
10.1109/ICICTA.2011.223
Filename :
5750655
Link To Document :
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