Performance of classification based on PCA, linear SVM, and Multi-kernel SVM

2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)(2016)

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摘要
Many studies are based on automatic or semi-automatic measurement of various a priori brain Region of Interest (ROI) to compare and discriminate between healthy controls (HC) and Alzheimer Disease (AD) patients. The proposed diagnosis method results yield up to about 84% stratification accuracy with Multi-kernel SVM along with high sensitivity and specificity above 85%.
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关键词
AD,HC,PCA,L-SVM,MK-SVM,GMM
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