Serum Mass Spectrometry Cancer diagnosis Using Averageand SVM Approaches Based on Box-counting Dimensions

摘要：

Mass spectrometry data have been widely used in early-stage cancer detection recent years. This essay focuses on the classification and prediction of early-stage gastric cancer patients using a linear methodology-average and a non-linear methodologySVM based on box-counting dimensions. The result differs greatly as average suffers a low accuracy while SVM has a rather high accuracy in classification and prediction.

关键词： gastric cancer serum mass spectrometry box-counting dimensions classification SVM

作者: Yuan Wang Jun Meng Fuming Qiu Jian Huang

作者单位: School of Electrical Engineering, Zhejiang University Hangzhou, China 310027 Cancer Institute, the Second Hospital Affiliated to Medical College of Zhejiang University Hangzhou,

会议类型: 国际会议

会议名称: 2011 International Conference on Medical Information and Bioengineering(2011年医药信息与生物工程国际会议 ICMIB 2011)

会议地点: 成都

会议语种:英文

页码: 80-82

在线出版日期: 2011-01-14（万方平台首次上网日期，不代表论文的发表时间）