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《Journal of Anhui University(Natural Sciences)》 2005-02
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Applications of support vector machine in cholesterol measurements

DINNG Lei,TAO Liang (School of Computer Science and Technology,Anhui University, Hefei 230039, China)  
Support Vector Machine (SVM) for nonlinear regression has shown very good learning performance. By using the SVM for regression, this paper presents a method that can determine serum cholesterol levels from the measurements of spectral content of a blood sample in medical science.The experiments show that the proposed SVM-based method is better than the BP network based method in stability and accuracy, especially for the measurements of the VLDL cholesterol levels.
【Fund】: 安徽大学人才队伍建设基金资助项目
【CateGory Index】: R446.1
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