Artificial Neural Network Applied to Diagnosis of Lung Cancer

Abstract

Abstract: Artificial neural network(ANN) approach was applied to classification of normal persons and lung cancer patients based on the metal content of hair and serum samples obtained by inductively coupled plasma atomic emission spectrometry(ICP-AES) for the two groups. This method was verified with independent prediction samples and can be used as an aiding means of the diagnosis of lung cancer. The case of predictive classification with one element missing in the prediction samples was studied in details. The significance of elements in hair and serum samples for classification prediction was also investigated.

Key words: Artificial neural network, Classification, Trace element, Hair, Serum

CLC Number:

O652.9

TrendMD:

ZHANG Zhuo-Yong, LIU Si-Dong, DING Bao-Jun, REN Yu-Lin, CHEN Hang-Ting, ZENG Xian-Jin . Artificial Neural Network Applied to Diagnosis of Lung Cancer[J]. Chem. J. Chinese Universities, 1998, 19(4): 530.

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Artificial Neural Network Applied to Diagnosis of Lung Cancer

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