根据毛发中微量元素含量用多变量统计分类技术进行肝癌辅助诊断  

ASSISTANT DIAGNOSTIC RESEARCH OF LIVER CANCER BY USING MULTIVARATE STATISTICAL CLASSIFY METHODS TO THE CONTENTS OF TRACE ELEMENTS IN HAIR

作　　者：张晓滨[1] 任玉秋[2] 任玉林[3] 王孟才[4] 徐刚[4] 

机构地区：[1]长春医学高等专科学校 [2]白城卫生学校 [3]吉林大学化学系 [4]白求恩医科大学预防医学院

出　　处：《计算机与应用化学》1999年第1期57-60,共4页Computers and Applied Chemistry

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.

关 键 词：肝癌 诊断 毛发 多变量统计分类 微量元素 

分 类 号：R735.704[医药卫生—肿瘤]