Publication | Closed Access
Performance of classification based on PCA, linear SVM, and Multi-kernel SVM
50
Citations
5
References
2016
Year
Unknown Venue
NeuropsychologyEngineeringMachine LearningBiometricsNeurophysiological BiomarkersLinear SvmSupport Vector MachineClassification MethodImage AnalysisAlzheimer's DiseaseData ScienceData MiningPattern RecognitionMulti-kernel SvmBiostatisticsNeurologyNeuropathologyHigh SensitivityNeuroimagingIntelligent ClassificationComputer ScienceAlzheimer DiseaseBrain ImagingData ClassificationNeuroimaging BiomarkersDementiaClassificationNeuroscienceMedicineKernel Method
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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