摘要
根据毛发中微量元素的含量,应用逐步判别分析、主成分分析和逐步聚类分析等多变量统计分类技术,进行了肝癌辅助诊断的研究。所得结果令人满意,特别显示了用统计方法筛选出的几种元素在区分是否肝癌上起着显著作用。
The diagnosis for liver cancer by methods of multivariate statistical classification, principal component analysis, stepwise clusting analysis and stepwise discrimination analysis, is studied in this paper. The results show that the elements selected by the statistical methods play a significant role in distinguishing liver cancer from the normals.
出处
《计算机与应用化学》
CAS
CSCD
1999年第1期57-60,共4页
Computers and Applied Chemistry
关键词
肝癌
诊断
毛发
多变量统计分类
微量元素
Liver cancer assistant diagnosis
Hair
Element
Multivariate statistical classification