基因表达式编程在心脏病诊断中的应用.pdfVIP

26 1 Vol. 26 No. 1 2009 2 Journal of Biomedical Engineering February 2009 1 1$ 2 代文彬 张运陶 高兴玉 1( 西华师范大学 应用化学研究所, 南充637002) 2( 川北医学院附属医院, 南充637000) ( GEP) , 13 Sex , Chest pain, Blood pressure, Angina, Pea , Slope, Colored vessels, Thal 8 , 100 87% ( SVM) , GEP R5401 4; TP3911 75 A 1001-5515( 2009) 01-0038-04 The Applica ion of Gene Expression Programming in he Diagnosis of Hear Disease 1 1 2 Dai Wenbin Zhang Yun ao Gao Xingyu 1 (I nstitute of Ap p lied Chemistry , China West N ormal University , N anchong 637002, China) 2 ( Dep ar tment of Medicine, N or th Sichuan Medical College, N anchong 637000, China) Abs rac GEP ( Gene expression programm ing) is a new genet ic algorithm, and it has been proved to be excel- lent in function finding. In this paper, for the purpose of setting up a diagnostic model, GEP is used to deal w ith the data of heart disease. Eight variables, Sex , Chest pain, Blood pressure, Angina, Pea , Slope, Colored vessels and Thal, are pic ed out of t hirteen variables to form a classified function. This function is used to predict a forecasting set of 100 samples, and t he accuracy is 87% . Other algorithms such as SVM( Support vector machine) are applied to the same dat a and the forecasting results show that GEP is better than other algorit hms. Key words Gene expression programming ( GEP) Support vector machine( SVM )