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Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm
Jie, Nan-Feng; Osuch, Elizabeth A.; Zhu, Mao-Hu; Wammes, Michael; Ma, Xiao-Ying; Jiang, Tian-Zi; Sui, Jing; Calhoun, Vince D.
刊名Journal of Signal Processing Systems
2016-08-08
页码1-13
关键词Feature extraction Algorithms Biomarkers Neuroimaging Statistical methods Bipolar disorder Feature selection algorithm Feature selection methods Functional connectivity Leave-one-out cross validations Major depressions Major depressive disorder (MDD) SVM-FoBa
ISSN号1939-8018
通讯作者Jiang, Tian-Zi (tzjiang@nlpr.ia.ac.cn)
学科主题Imaging Techniques;Mathematical Statistics
出版地NEW YORK
语种英语
内容类型期刊论文
源URL[http://ir.lzu.edu.cn/handle/262010/182815]  
专题信息科学与工程学院_期刊论文
推荐引用方式
GB/T 7714
Jie, Nan-Feng,Osuch, Elizabeth A.,Zhu, Mao-Hu,et al. Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm[J]. Journal of Signal Processing Systems,2016:1-13.
APA Jie, Nan-Feng.,Osuch, Elizabeth A..,Zhu, Mao-Hu.,Wammes, Michael.,Ma, Xiao-Ying.,...&Calhoun, Vince D..(2016).Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm.Journal of Signal Processing Systems,1-13.
MLA Jie, Nan-Feng,et al."Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm".Journal of Signal Processing Systems (2016):1-13.
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