A Weighted Discriminative Dictionary Learning Method for Depression Disorder Classification using fMRI Data

doi:10.1109/BDCloud-SocialCom-SustainCom.2016.97

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 人工智能与机器学习（杨雪冰）-技术团队

	A Weighted Discriminative Dictionary Learning Method for Depression Disorder Classification using fMRI Data
	Wang Xin1 ; Ren Yanshuang 2; Yang Yehui1 ; Zhang Wensheng1 ; Neal N. Xiong 3
	2016
会议名称	2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom)
会议日期	2016-10-8
会议地点	Atlanta, GA, USA
摘要	In this paper, we present a novel depression disorder classification algorithm, named weighted discriminative dictionary learning (WDDL), based on functional magnetic resonance imaging (fMRI) data. The underlying relationship between samples and dictionary atoms is exploited by introducing an adaptive weighting scheme. Tested on fMRI data of 29 patients with depression and 29 healthy controls, our algorithm outperforms all other classification methods compared in this work. Furthermore, we detect the discriminative brain regions of patients which can reveal the pathogenesis of depression disorder.
DOI	10.1109/BDCloud-SocialCom-SustainCom.2016.97
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/14845
专题	多模态人工智能系统全国重点实验室_人工智能与机器学习（杨雪冰）-技术团队
通讯作者	Zhang Wensheng
作者单位	1.Institute of Automation, Chinese Academy of Sciences 2.Department of Radiology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences 3.Department of Business and Computer Science, Southwestern Oklahoma State University
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wang Xin,Ren Yanshuang,Yang Yehui,et al. A Weighted Discriminative Dictionary Learning Method for Depression Disorder Classification using fMRI Data[C],2016.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
A Weighted Discrimin（1584KB）	会议论文		开放获取	CC BY-NC-SA	浏览