Diagnosing breast cancer based on support vector machines

被引：109

作者：

Liu, HX

Zhang, RS ^{[1
]}

Luan, F

Yao, XJ

Liu, MC

Hu, ZD

Fan, BT

机构：

[1] Lanzhou Univ, Dept Chem, Lanzhou 730000, Peoples R China

[2] Lanzhou Univ, Dept Comp Sci, Lanzhou 730000, Peoples R China

[3] Univ Paris 07, ITODYS 1, F-75005 Paris, France

来源：

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES | 2003年 / 43卷 / 03期

关键词：

D O I：

10.1021/ci0256438

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

The Support Vector Machine (SVM) classification algorithm, recently developed from the machine learning community, was used to diagnose breast cancer. At the same time, the SVM was compared to several machine learning techniques currently used in this field. The classification task involves predicting the state of diseases, using data obtained from the UCI machine learning repository. SVM outperformed k-means cluster and two artificial neural networks on the whole. It can be concluded that nine samples could be mislabeled from the comparison of several machine learning techniques.

引用

收藏

页码：900 / 907

页数：8

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