DocumentCode
1595408
Title
Leukemia cancer classification based on Support Vector Machine
Author
Hsieh, Sung-Huai ; Wang, Zhenyu ; Cheng, Po-Hsun ; Lee, I-Shun ; Hsieh, Sheau-Ling ; Lai, Feipei
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Providence Univ., Taichung, Taiwan
fYear
2010
Firstpage
819
Lastpage
824
Abstract
In the paper, we classify cancer with the Leukemia cancer of medical diagnostic data. Information gain has been adapted for feature selections. A Leukemia cancer model that utilizes Information Gain based on Support Vector Machines (IG-SVM) techniques and enhancements to evaluate, interpret the cancer classification. The experimental results indicate that the SVM model illustrates the highest accuracy of classifications for Leukemia cancer.
Keywords
cancer; feature extraction; medical diagnostic computing; pattern classification; support vector machines; Leukemia cancer classification; feature selection; information gain; medical diagnostic data; support vector machine technique; Biomedical computing; Biomedical engineering; Cancer; Computer science; Data engineering; Entropy; Gene expression; Machine learning; Support vector machine classification; Support vector machines; Leukemia cancer; microarray; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics (INDIN), 2010 8th IEEE International Conference on
Conference_Location
Osaka
Print_ISBN
978-1-4244-7298-7
Type
conf
DOI
10.1109/INDIN.2010.5549638
Filename
5549638
Link To Document