Results 51 to 60 of about 305,576 (390)
Suicide after contact with substance misuse services: a national registry study
BackgroundPeople with substance use disorders have a well-known increased risk for taking their own life. Previous research has mainly focused on suicide in mental health services, whereas there is limited knowledge regarding suicide after contact with ...
Martin Ø. Myhre+2 more
doaj +1 more source
Comparison of Characteristics of Suicide Attempts Registered in Urban and Rural Areas in China
Objective: The objective of this study is to compare the characteristics of suicide attempts registered in general hospitals in urban and rural areas in China.Methods: From January 2007 to December 2011, suicide attempts registered in hospitals in five ...
Lingling Li+20 more
doaj +1 more source
Suicidal Ideation Detection on Social Media: A Review of Machine Learning Methods [PDF]
Social media platforms have transformed traditional communication methods by allowing users worldwide to communicate instantly, openly, and frequently. People use social media to express their opinion and share their personal stories and struggles. Negative feelings that express hardship, thoughts of death, and self-harm are widespread in social media,
arxiv
Background and AimsSystematic Tailored Assessment for Responding to Suicidality (STARS) protocol and associated training were developed with the key objectives of supporting clinicians to conduct a suicide enquiry, obtaining a comprehensive account of ...
Jacinta Hawgood+7 more
doaj +1 more source
Evaluation of a brief universal suicide prevention programme in young people: a cluster-controlled trial in Swiss schools. [PDF]
AIMS OF THE STUDY Suicide is one of the leading causes of death in young people. Therefore, suicide prevention in this age group is a public health priority.
Baggio, Stéphanie+5 more
core +1 more source
Evaluation of the factor structure of the Russian version of PID-5-BF
Introduction Traditional categorical classifications of personality disorders (PD) have been criticized for insufficient structural and cross-cultural validity.
M. Zinchuk+7 more
doaj +1 more source
Suicide Classificaction for News Media Using Convolutional Neural Network [PDF]
Currently, the process of evaluating suicides is highly subjective, which limits the efficacy and accuracy of prevention efforts. Artificial intelligence (AI) has emerged as a means of investigating large datasets to identify patterns within "big data" that can determine the factors on suicide outcomes.
arxiv
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications [PDF]
Suicide is a critical issue in modern society. Early detection and prevention of suicide attempts should be addressed to save people's life. Current suicidal ideation detection methods include clinical methods based on the interaction between social workers or experts and the targeted individuals and machine learning techniques with feature engineering
arxiv +1 more source
Suicidal students' use of and attitudes to primary care prevention services [PDF]
Aim The aims of this study were to improve responses to students in distress and who are feeling suicidal, to help practitioners to increase their responsiveness to those at high risk of suicide and to develop effective responses to those affected by ...
Beskow+26 more
core +1 more source
Abstract Background Trigeminal neuralgia (TN) is an excruciating unilateral facial pain, which negatively affects patient's quality of life. Historically, it has been difficult to compare treatment efficacy due to the lack of standardized outcomes. In addition, patients' perspective has seldomly been acknowledged.
Carolina Venda Nova+3 more
wiley +1 more source