E-health interventions for suicide prevention
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 …
connected to health services following an attempt. E-health interventions are now being …
Suicide-related Internet use: A review
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 …
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
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 …
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.
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 …
societies. About 9.2% of people worldwide have had suicidal ideation at least once in their …
A linguistic analysis of suicide-related Twitter posts
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 …
delivering timely interventions is challenging. Social media site Twitter is used to express …
Detecting suicidal ideation in Chinese microblogs with psychological lexicons
Suicide is among the leading causes of death in China. However, technical approaches
toward preventing suicide are challenging and remaining under development. Recently …
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
Background: Traditional offline assessment of suicide probability is time consuming and
difficult in convincing at-risk individuals to participate. Identifying individuals with high …
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 …
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
Background: Assessing patients' suicide risk is challenging, especially among those who
deny suicidal ideation. Primary care providers have poor agreement in screening suicide …
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
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 …
on Chinese microblogs (referred to as Weibo suicide communication (WSC)), and the …