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

Infodemiology and Infoveillance (1269) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Mental Health Surveillance and Epidemiology (51) Intentional Self-Harm (89) Depression and Mood Disorders; Suicide Prevention (1271) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Public (e)Health, Digital Epidemiology and Public Health Informatics (636) Methods and New Tools in Mental Health Research (424)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47225, first published .
Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022

Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022

Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022

Authors of this article:

Siqin Wang1, 2, 3 Author Orcid Image ;   Huan Ning4 Author Orcid Image ;   Xiao Huang5 Author Orcid Image ;   Yunyu Xiao6 Author Orcid Image ;   Mengxi Zhang7 Author Orcid Image ;   Ellie Fan Yang8 Author Orcid Image ;   Yukio Sadahiro1 Author Orcid Image ;   Yan Liu9 Author Orcid Image ;   Zhenlong Li4 Author Orcid Image ;   Tao Hu10 Author Orcid Image ;   Xiaokang Fu11 Author Orcid Image ;   Zi Li12 Author Orcid Image ;   Ye Zeng13 Author Orcid Image
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