Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis.

Wang, Xiaofeng; Chen, Shuai; Li, Tao; Li, Wanting; Zhou, Yejie; Zheng, Jie; Chen, Qingcai; Yan, Jun; Tang, Buzhou

Wang, Xiaofeng; Chen, Shuai; Li, Tao; Li, Wanting; Zhou, Yejie; Zheng, Jie; Chen, Qingcai; Yan, Jun; Tang, Buzhou.

Afiliación

Wang X; School of Communication, Shenzhen University, Shenzhen, China.
Chen S; Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
Li T; Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
Li W; Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
Zhou Y; Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
Zheng J; Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
Chen Q; Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.
Yan J; Yidu Cloud (Beijing) Technology Co Ltd, Beijing, China.
Tang B; Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.

JMIR Med Inform ; 8(7): e17958, 2020 Jul 29.

Article en En | MEDLINE | ID: mdl-32723719

Palabras clave

Chinese microblogs; deep learning; depression risk prediction; pretrained language model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Med Inform Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Canadá

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