【摘要】 在AppleⅡ微机上用模式识别法处理了癌症病人和健康人的发、血清、尿的微量元素Fe、Mn、Cu、Zn、Pb、Cr、Cd、Ni、Ca、Mg的原子吸收光谱分析数据,模式识别法的分类准确度在60％以上,在一定条件下,对癌症诊断有一定参考价值。更多还原

【Abstract】 With Pattern Recognition,we dispased the data of trace elements in hair,serum and urine of patients with various cancers and of health controls by Apple Ⅱ computer. Fe,Mn,Cu,Zn,Ca,Mg,Cr,Ni Cd and Pb,in hair,serum and urine were determined by absorption spectroscopy. The accuracy of classification of Pattern Recognition in our cases is more than 60％. We believe that trace elements pedigree with Computerized Pattern Recognition gives promise of diagnostic reference one certain conditions.更多还原