郑州大学学报（医学版）2012，Vol.47Issue(6)：762-764,3.DOI:10.3969/j.issn.1671-6825.2012.06.005
基于人工神经网络的肿瘤标志蛋白芯片在肺癌辅助诊断中的应用
Application of tumor marker protein biochip combined with artificial neural network in diagnosis of lung cancer
摘要
Abstract
Aim:To establish two classification models of artificial neural networks( ANN ) and Fisher discrimination a-nalysis, and to compare the differences among two models and the multiple tumor marker protein biochip detective system in the diagnosis of lung cancer. Methods: The clinical data and multiple tumor marker protein biochip detective system records of 102 lung disease patients( 50 cases of lung cancer and 52 cases of benign pulmonary diseases ) were retrospectively reviewed, and then the models of ANN and Fisher discrimination analysis were developed. Results:The accuracy of ANN, Fisher discrimination analysis and multiple tumor marker protein biochip detective system was 88. 0% , 64. 0% and 60. 0% . The area under ROC curve of ANN( 0. 878 ) was higher than that of Fisher discrimination analysis( 0. 635 ) and multiple tumor marker protein biochip detective system( 0. 596 ). Conclusion: The effects of ANN model established by multiple tumor marker protein biochip detective system are better than those of Fisher discrimination analysis and multiple tumor marker protein biochip detective system in discrimination of lung cancer.关键词
肺癌/人工神经网络/肿瘤标志/蛋白芯片/诊断Key words
lung cancer/artificial neural network/tumor marker/protein biochip/diagnosis分类
医药卫生引用本文复制引用
谭善娟,余春华,王威,吴拥军,吴逸明..基于人工神经网络的肿瘤标志蛋白芯片在肺癌辅助诊断中的应用[J].郑州大学学报（医学版）,2012,47(6):762-764,3.基金项目
国家自然科学基金资助项目 30972457 （）
河南省医学科技攻关计划基金资助项目 2011020082 （）
