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MDD-TSVM: A novel semisupervised-based method for major depressive disorder detection using electroencephalogram signals.
Lin, Hongtuo; Jian, Chufan; Cao, Yang; Ma, Xiaoguang; Wang, Hailiang; Miao, Fen; Fan, Xiaomao; Yang, Jinzhu; Zhao, Gansen; Zhou, Hui.
Afiliación
  • Lin H; School of Computer Science, South China Normal University, Guangzhou, China. Electronic address: htlin@m.scnu.edu.cn.
  • Jian C; School of Computer Science, South China Normal University, Guangzhou, China. Electronic address: charfole@m.scnu.edu.cn.
  • Cao Y; School of Computer Science, South China Normal University, Guangzhou, China. Electronic address: yangcao@scnu.edu.cn.
  • Ma X; The State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China; Foshan Graduate School, Northeastern University, Foshan, China. Electronic address: maxg@mail.neu.edu.cn.
  • Wang H; School of Design, Hong Kong Polytechnic University, Hong Kong Special Administrative Region. Electronic address: hailiang.wang@polyu.edu.hk.
  • Miao F; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. Electronic address: fen.miao@siat.ac.cn.
  • Fan X; School of Computer Science, South China Normal University, Guangzhou, China. Electronic address: xmfan@scnu.edu.cn.
  • Yang J; Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China; School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China. Electronic address: yangjinzhu@cse.neu.edu.cn.
  • Zhao G; School of Computer Science, South China Normal University, Guangzhou, China. Electronic address: gzhao@m.scnu.edu.cn.
  • Zhou H; School of Automation, Nanjing University of Science and Technology, Nanjing, China. Electronic address: zhouhui@njust.edu.cn.
Comput Biol Med ; 140: 105039, 2021 Nov 25.
Article en En | MEDLINE | ID: mdl-34864299

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Biol Med Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Biol Med Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos