Artificial neural network applied to diagnosis of digestive tract cancer

被引：0

作者：

Dong, SY ^{[1
]}

Yiao, JH ^{[1
]}

Yu, KQ ^{[1
]}

Tang, HS ^{[1
]}

Gao, H ^{[1
]}

机构：

[1] NW Univ Xian, Inst Anal Sci, Xian 710069, Peoples R China

来源：

CHINESE JOURNAL OF ANALYTICAL CHEMISTRY | 2000年 / 28卷 / 08期

关键词：

artificial neural network; digestive tract cancer; classification; hair samples;

D O I：

暂无

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The contents of 11 trace elements in hair samples including both normal people and digestive tract cancer patients were determined by inductively coupled plasma stomic emission spectrometry and fluorescence analysis. Artificial neural network (ANN) approach was applied to classification of the two groups. This method was verified with independent prediction samples. The signification of elements in hair samples for classification and network parameters as also investigated. The results showed that the artificial neural network model is a good prediction method, therefore, the model might he referred as an aiding means of the diagnosis for the cancer.

引用

页码：1025 / 1028

页数：4