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人工神经网络方法用于肺癌的辅助诊断
引用本文:张卓勇,刘思东,丁保军,任玉林,陈杭亭,曾宪津.人工神经网络方法用于肺癌的辅助诊断[J].高等学校化学学报,1998,19(4):530-533.
作者姓名:张卓勇  刘思东  丁保军  任玉林  陈杭亭  曾宪津
作者单位:1. 东北师范大学化学系, 长春, 130024; 2. 吉林大学化学系, 长春, 130023; 3. 中国科学院长春应用化学研究所, 长春, 130022
基金项目:国家自然科学基金,国家教委优秀年轻教师基金
摘    要:根据人发和血清中微量元素的含量,将人工神经网络(ANN)用于正常人与癌症患者的分类预测.用独立预测样本作了检验,表明该方法可作为肺癌诊断的一种辅助手段.讨论了当预测样本中有元素缺损时ANN的分类预测情况,并研究了人发和血清样品中的元素对分类预测的影响.

关 键 词:人工神经网络  分类  微量元素  人发  血清  
收稿时间:1997-04-11

Artificial Neural Network Applied to Diagnosis of Lung Cancer
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].Chemical Research In Chinese Universities,1998,19(4):530-533.
Authors:ZHANG Zhuo-Yong  LIU Si-Dong  DING Bao-Jun  REN Yu-Lin  CHEN Hang-Ting  ZENG Xian-Jin
Institution:1. Department of Chemistry, Northeast Normal University, Changchun, 130024; 2. Department of Chemistry, Jilin University, Changchun, 130023; 3. Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022
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.
Keywords:Artificial neural network  Classification  Trace element  Hair  Serum
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