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

New Methods (748) e-Mental Health and Cyberpsychology (1116) Machine Learning (1121) Depression and Mood Disorders; Suicide Prevention (1132)

Published on in Vol 21 , No 5 (2019) :May

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors

Authors of this article:

Xingyun Liu 1, 2, 3 Author Orcid Image ;   Xiaoqian Liu 2 Author Orcid Image ;   Jiumo Sun 2, 3 Author Orcid Image ;   Nancy Xiaonan Yu 1 Author Orcid Image ;   Bingli Sun 2 Author Orcid Image ;   Qing Li 4 Author Orcid Image ;   Tingshao Zhu 2 Author Orcid Image
Article Authors Cited by (41) Tweetations (6) Metrics

Xingyun Liu   1, 2, 3 , MA ;   Xiaoqian Liu   2 , PhD ;   Jiumo Sun   2, 3 , BA ;   Nancy Xiaonan Yu   1 , PhD ;   Bingli Sun   2 , MA ;   Qing Li   4 , PhD ;   Tingshao Zhu   2 , PhD

1 Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China (Hong Kong)

2 Institute of Psychology, Chinese Academy of Sciences, Beijing, China

3 Department of Psychology, University of Chinese Academy of Sciences, Beijing, China

4 Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

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