Leukemia cancer classification based on support vector machine
Journal
IEEE International Conference on Industrial Informatics (INDIN)
Pages
819-824
Date Issued
2010
Author(s)
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 cnacer model that utilizes Information Gain based on Support Vector Machines (IG-SVM) techniques and enhancements to evaluate, interpret the cacer classification. The experimental results indicate that the SVM model illustrates the highest accuracy of classifications for Leukemia cancer. ? 2010 IEEE.
Subjects
Leukemia cancer; Microarray; Support vector machine
SDGs
Other Subjects
Cancer classification; Feature selection; Information gain; Leukemia cancer; Medical diagnostics; SVM model; Diseases; Gears; Information science; Vectors; Support vector machines
Type
conference paper