[HTML][HTML] Proactive suicide prevention online (PSPO): machine identification and crisis management for Chinese social media users with suicidal thoughts and …

X Liu, X Liu, J Sun, NX Yu, B Sun, Q Li, T Zhu - Journal of medical internet …, 2019 - jmir.org
Background Suicide is a great public health challenge. Two hundred million people attempt
suicide in China annually. Existing suicide prevention programs require the help-seeking …

[HTML][HTML] Detection of suicidal ideation on social media: multimodal, relational, and behavioral analysis

D Ramírez-Cifuentes, A Freire, R Baeza-Yates… - Journal of medical …, 2020 - jmir.org
Background Suicide risk assessment usually involves an interaction between doctors and
patients. However, a significant number of people with mental disorders receive no …

[HTML][HTML] Assessing suicide risk and emotional distress in Chinese social media: a text mining and machine learning study

Q Cheng, TMH Li, CL Kwok, T Zhu, PSF Yip - Journal of medical internet …, 2017 - jmir.org
Background Early identification and intervention are imperative for suicide prevention.
However, at-risk people often neither seek help nor take professional assessment. A tool to …

[HTML][HTML] Mediation effect of suicide-related social media use behaviors on the association between suicidal ideation and suicide attempt: cross-sectional questionnaire …

X Liu, J Huang, NX Yu, Q Li, T Zhu - Journal of medical internet research, 2020 - jmir.org
Background A limited number of studies have examined the differences in suicide-related
social media use behaviors between suicide ideators and suicide attempters or have sought …

Creating a Chinese suicide dictionary for identifying suicide risk on social media

M Lv, A Li, T Liu, T Zhu - PeerJ, 2015 - peerj.com
Introduction. Suicide has become a serious worldwide epidemic. Early detection of
individual suicide risk in population is important for reducing suicide rates. Traditional …

Detecting and analyzing suicidal ideation on social media using deep learning and machine learning models

THH Aldhyani, SN Alsubari, AS Alshebami… - International journal of …, 2022 - mdpi.com
Individuals who suffer from suicidal ideation frequently express their views and ideas on
social media. Thus, several studies found that people who are contemplating suicide can be …

Automatic extraction of informal topics from online suicidal ideation

RN Grant, D Kucher, AM León, JF Gemmell… - BMC …, 2018 - Springer
Background Suicide is an alarming public health problem accounting for a considerable
number of deaths each year worldwide. Many more individuals contemplate suicide …

Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics

J Luo, J Du, C Tao, H Xu… - Health informatics journal, 2020 - journals.sagepub.com
A valid mechanism for suicide detection and intervention to a wider population online has
not yet been fully established. With the increasing suicide rate, we proposed an approach …

Supervised learning for suicidal ideation detection in online user content

S Ji, CP Yu, S Fung, S Pan, G Long - Complexity, 2018 - Wiley Online Library
Early detection and treatment are regarded as the most effective ways to prevent suicidal
ideation and potential suicide attempts—two critical risk factors resulting in successful …

[HTML][HTML] Suicide ideation detection from online social media: A multi-modal feature based technique

M Chatterjee, P Kumar, P Samanta, D Sarkar - International Journal of …, 2022 - Elsevier
According to an estimate of World Health Organization, each year approximately 700,000
people die by suicide, with many more contemplating suicide. Early detection of suicidal …