E-health interventions for suicide prevention

H Christensen, PJ Batterham, B O'Dea - International journal of …, 2014 - mdpi.com
Many people at risk of suicide do not seek help before an attempt, and do not remain
connected to health services following an attempt. E-health interventions are now being …

Suicide-related Internet use: A review

K Mok, AF Jorm, J Pirkis - Australian & New Zealand Journal …, 2015 - journals.sagepub.com
Objective: To systematically review research on how people use the Internet for suicide-
related reasons and its influence on users. This review summarises the main findings and …

[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 …

[PDF][PDF] Finding People with Emotional Distress in Online Social Media: A Design Combining Machine Learning and Rule-Based Classification.

M Chau, TMH Li, PWC Wong, JJ Xu, PSF Yip… - MIS …, 2020 - pweb.fbe.hku.hk
Emotional distress is a prevailing complex social and publichealth problem in modern
societies. About 9.2% of people worldwide have had suicidal ideation at least once in their …

A linguistic analysis of suicide-related Twitter posts

B O'dea, ME Larsen, PJ Batterham, AL Calear… - Crisis, 2017 - econtent.hogrefe.com
Background: Suicide is a leading cause of death worldwide. Identifying those at risk and
delivering timely interventions is challenging. Social media site Twitter is used to express …

Detecting suicidal ideation in Chinese microblogs with psychological lexicons

X Huang, L Zhang, D Chiu, T Liu, X Li… - 2014 IEEE 11th Intl …, 2014 - ieeexplore.ieee.org
Suicide is among the leading causes of death in China. However, technical approaches
toward preventing suicide are challenging and remaining under development. Recently …

[HTML][HTML] Identifying Chinese microblog users with high suicide probability using internet-based profile and linguistic features: classification model

L Guan, B Hao, Q Cheng, PSF Yip, T Zhu - JMIR mental health, 2015 - mental.jmir.org
Background: Traditional offline assessment of suicide probability is time consuming and
difficult in convincing at-risk individuals to participate. Identifying individuals with high …

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 …

[HTML][HTML] Detection of suicidal ideation in clinical interviews for depression using natural language processing and machine learning: cross-sectional study

TMH Li, J Chen, FOC Law, CT Li… - JMIR medical …, 2023 - medinform.jmir.org
Background: Assessing patients' suicide risk is challenging, especially among those who
deny suicidal ideation. Primary care providers have poor agreement in screening suicide …

Suicide communication on social media and its psychological mechanisms: an examination of Chinese microblog users

Q Cheng, CL Kwok, T Zhu, L Guan, PSF Yip - International journal of …, 2015 - mdpi.com
Background: This study aims to examine the characteristics of people who talk about suicide
on Chinese microblogs (referred to as Weibo suicide communication (WSC)), and the …