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根据血清中微量元素的含量，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，进行肝癌辅助诊断方法的研究。结果显示，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的作用。
According to the content of trace elements in serum, we used multivariate statistical classification techniques such as stepwise discriminant analysis, principal component analysis and stepwise cluster analysis to study the method of auxiliary diagnosis of liver cancer. The results show that the statistical methods of screening out several elements in the distinction between whether liver cancer plays a significant role.