https://scholars.lib.ntu.edu.tw/handle/123456789/484433
Title: | Leukemia cancer classification based on support vector machine | Authors: | Hsieh, S.-H. Wang, Z. Cheng, P.-H. Lee, I.-S. Hsieh, S.-L. FEI-PEI LAI |
Keywords: | Leukemia cancer; Microarray; Support vector machine | Issue Date: | 2010 | Start page/Pages: | 819-824 | Source: | IEEE International Conference on Industrial Informatics (INDIN) | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/484433 | DOI: | 10.1109/INDIN.2010.5549638 | SDG/Keyword: | Cancer classification; Feature selection; Information gain; Leukemia cancer; Medical diagnostics; SVM model; Diseases; Gears; Information science; Vectors; Support vector machines |
Appears in Collections: | 生醫電子與資訊學研究所 |
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