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