This paper is in the following e-collection/theme issue:

Theme Issue 2021: Health Natural Language Processing and Applications (16) Depression and Mood Disorders; Suicide Prevention (1392) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Natural Language Processing (706) Infodemiology and Infoveillance (1369)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28227, first published .
Multifeature Fusion Attention Network for Suicide Risk Assessment Based on Social Media: Algorithm Development and Validation

Multifeature Fusion Attention Network for Suicide Risk Assessment Based on Social Media: Algorithm Development and Validation

Multifeature Fusion Attention Network for Suicide Risk Assessment Based on Social Media: Algorithm Development and Validation

Authors of this article:

Jiacheng Li1 Author Orcid Image ;   Shaowu Zhang1 Author Orcid Image ;   Yijia Zhang1 Author Orcid Image ;   Hongfei Lin1 Author Orcid Image ;   Jian Wang1 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Jiacheng Li   1 , BSc ;   Shaowu Zhang   1 , PhD ;   Yijia Zhang   1 , PhD ;   Hongfei Lin   1 , PhD ;   Jian Wang   1 , PhD

1 College of Computer Science and Technology, Dalian University of Technology, Dalian, China

Corresponding Author:

  • Yijia Zhang, PhD
  • College of Computer Science and Technology
  • Dalian University of Technology
  • No 2 Linggong Road
  • Ganjingzi District
  • Dalian, 116023
  • China
  • Phone: 86 13384118909
  • Email: zhangyijia1979@gmail.com