| 人工神经网络用于消化道癌症初级诊断研究 |
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| 引用本文： | 董社英,姚纪欢,于科岐,汤宏胜,高鸿. 人工神经网络用于消化道癌症初级诊断研究[J]. 分析化学, 2000, 28(8): 1025-1028 |
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| 作者姓名： | 董社英 姚纪欢 于科岐 汤宏胜 高鸿 |
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| 作者单位： | 1. 西北大学分析科学研究所,西安,710069
2. 山西省运城高等师,范专科学校 |
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| 基金项目： | 系陕西省教委基金!（批准号：98JK114），西北大学科学研究基金!（批准号：98NW29F）资助课题。 |
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| 摘 要： | 测定了正常人及消化道癌症病人头发样品１１种元素含量，然后将人工神经网络（ＡＮＮ）用于正常人与癌症患者的分类预测，并用独立预测样本作了检验，预报识别率达１００％。讨论了网络参数的选择和发样中微量元素与癌症的关系。结果表明该方法可作为消化道癌症初级诊断的一种辅助手段。
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| 关 键 词： | 人工神经网络 消化道癌 人发 初级诊断 微量元素 |
Artificial Neural Network Applied to Diagnosis of Digestive Tract Cancer |
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| Dong Sheying,Yiao Jihuan,Yu Keqi,Tang Hongsheng,Gao Hong. Artificial Neural Network Applied to Diagnosis of Digestive Tract Cancer[J]. Chinese Journal of Analytical Chemistry, 2000, 28(8): 1025-1028 |
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| Authors: | Dong Sheying Yiao Jihuan Yu Keqi Tang Hongsheng Gao Hong |
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| Abstract: | The contents of 11 trace elements in hair sapmles including both mormal 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 investigaed. The results showed that the artificial neural network model is a good prediction method, therefore, the model might be referred as an aiding means of the diagnosis for the cancer. |
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| Keywords: | Artificial neural network digestive tract cancer classification hair samples |
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