Research on an Application of Multivariate Discriminant Analysis to Cancer Diagnosis

Abstract

Abstract: The concentrations of 15 trace elements in human hair samples including both normal people and cancer patient samples are determined by ICP-AESand GFAAS, These concentration data are then treated by use of a technique which involves polynomial expanding, model selection and PLSmethod.The good classification results between two classes of samples are obtained and showed in discrimination plane figure.It is believed that the hair sample can be used as a test sample instead of the blood sample in the diagnosis for the cancer.

Key words: ICP-AES, PLS, Polynomial expanding, Stepwise regression.Cancer diagnosis

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ZHU Er-Yi, WANG Xiao-Ru, DENG Zhi-Wei, YANG Peng-Yuan, HUANG Ben-Li . Research on an Application of Multivariate Discriminant Analysis to Cancer Diagnosis[J]. Chem. J. Chinese Universities, 1993, 14(5): 621.

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Research on an Application of Multivariate Discriminant Analysis to Cancer Diagnosis

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