A Weighted Discriminative Dictionary Learning Method for Depression Disorder Classification using fMRI Data
文献类型：会议论文
| 作者 | Wang Xin1 ; Ren Yanshuang2; Yang Yehui1; Zhang Wensheng1; Neal N. Xiong3
|
| 出版日期 | 2016 |
| 会议日期 | 2016-10-8 |
| 会议地点 | Atlanta, GA, USA |
| DOI | 10.1109/BDCloud-SocialCom-SustainCom.2016.97 |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14845]  |
| 专题 | 精密感知与控制研究中心_人工智能与机器学习 |
| 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 |
| 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]. 见:. Atlanta, GA, USA. 2016-10-8. |
入库方式： OAI收割
来源：自动化研究所
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