会议专题

Automatic classification of schizophrenia patients using support vector machine and recursive feature elimination

  Structural abnormalities in Schizophrenia(SZ)patients have been well documented with structural magnetic resonance imaging(MRI).In this study,we first applied voxel-based morphometry(VBM)method to compare gray matter volume(GMV)and white matter volume(WMV)between 41 SZ patients and 42 age and sex matched normal controls(NC).We found that SZ patients showed gray and white matter abnormalities in a variety of brain structures primarily in the parietal and occipital lobes.Moreover,the method of support vector machine(SVM)combined with recursive feature elimination(RFE)was used to discriminate SZ patients from NC subjects by using the significant group differences in both GMV and WMV.Our results achieved the high values of accuracy(84.4%),sensitivity(92.49%),and specificity(75.6%)in the automatic classification between SZ and NC.Distinct neuroanatomical profiles associated with SZ patients may provide a potential biomarker for disease diagnosis.

Schizophrenia Voxel-based morphometry Support vector machine Recursive feature elimination

Yongzhe Yang Fengchun Wu Xiaobing Lu Xiuyong Wu Minjian Gao Yong Xu Junwei Xue Xin Du Chengwei Li Lei Wu Xiaomei Zhong Yanling Zhou Ni Fan Yingjun Zheng Hongjun Peng Biao Huang Yuping Ning Kai Wu

Department of Biomedical Engineering,School of Materials Science and Engineering,South China Univers Department of Neurology,Guangzhou Brain Hospital(GBH)/Guangzhou Huiai Hospital,Guangzhou,China,51037 Department of Biomedical Engineering,School of Materials Science and Engineering,South China Univers School of Computer Science and Engineering,South China University of Technology(SCUT),Guangzhou,Chin Department of Neurology,Guangzhou Brain Hospital(GBH)/Guangzhou Huiai Hospital,Guangzhou,China,51037 Department of Clinical Psychology,Guangzhou Brain Hospital(GBH)/Guangzhou Huiai Hospital,Guangzhou,C Department of Radiology,Guangdong Academy of Medical Sciences,Guangdong General Hospital,Guangzhou,C Department of Biomedical Engineering,School of Materials Science and Engineering,South China Univers

国内会议

2015年中国生物医学工程联合学术年会

南京

英文

1-6

2015-10-16(万方平台首次上网日期,不代表论文的发表时间)