https://scholars.lib.ntu.edu.tw/handle/123456789/484433
標題: | Leukemia cancer classification based on support vector machine | 作者: | Hsieh, S.-H. Wang, Z. Cheng, P.-H. Lee, I.-S. Hsieh, S.-L. FEI-PEI LAI |
關鍵字: | Leukemia cancer; Microarray; Support vector machine | 公開日期: | 2010 | 起(迄)頁: | 819-824 | 來源出版物: | IEEE International Conference on Industrial Informatics (INDIN) | 摘要: | 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/關鍵字: | Cancer classification; Feature selection; Information gain; Leukemia cancer; Medical diagnostics; SVM model; Diseases; Gears; Information science; Vectors; Support vector machines |
顯示於: | 生醫電子與資訊學研究所 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。