军事医学2017，Vol.41Issue(8)：670-674,5.DOI:10.7644/j.issn.1674-9960.2017.08.011
模拟退火-支持向量机在SLE合并肾受累的辅助诊断应用研究
Applicability of SA-SVM classifier to auxiliary diagnosis of renal involvement in SLE
摘要
Abstract
Objective To establish a computer-aided diagnosis (CAD) model for the classification and diagnosis of systemic lupus erythematosus (SLE) complicated with renal involvement,and to provide a new method for the timely detection and diagnosis of the disease.Methods Simulated annealing(SA) algorithm was used to optimize the penalty coefficient C and kernel function parameter g of the support vector machines(SVM) algorithm before an SA-SVM classifier model was established and was applied to the intelligent assistant diagnosis of SLE.Results Unlike the single SVM classifier,this method never fell into local optimum,and improved the classification accuracy of a classifier.The classification accuracy for SLE with renal involvement was as high as 98.72％.Conclusion The experimental results show that this classification model is well applicable to the intelligent diagnosis of SLE with renal involvement.关键词
支持向量机/模拟退火/人工智能/诊断设备/系统性红斑狼疮并发肾受累Key words
support vector machines/simulated annealing algorithm/artificial intelligence/diagnostic equipment/SLE complicated with renal involvement分类
医药卫生引用本文复制引用
王曦,张果,付萍,王剑平,杨晓洪,欧阳鑫..模拟退火-支持向量机在SLE合并肾受累的辅助诊断应用研究[J].军事医学,2017,41(8):670-674,5.基金项目
国家自然科学基金资助项目(61364008) （61364008）
云南省应用基础研究重点资助项目(2014FA029) （2014FA029）
云南省教育厅重点基金资助项目(2013Z127) （2013Z127）
