Applicability of SA-SVM classifier to auxiliary diagnosis of renal involvement in SLE

VernacularTitle: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
Author: Xi WANG ¹ ; Guo ZHANG ; Ping FU ; ping Jian WANG ; hong Xiao YANG ; xin Yang OU
Author Information

1. 昆明理工大学信息工程与自动化学院
Keywords: support vector machines; simulated annealing algorithm; artificial intelligence; diagnostic equipment; SLE complicated with renal involvement
From: Military Medical Sciences 2017;41(8):670-674
CountryChina
Language:Chinese
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.