Abstract Machine learning (ML) has emerged as a promising tool to enhance suicidal
prediction. However, as many large-sample studies mixed psychiatric and non-psychiatric …

Suicide is a leading cause of death that defies prediction and challenges prevention efforts
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …

The hypothesis that the S allele of the 5-HTTLPR serotonin transporter promoter region is
associated with increased risk of depression, but only in individuals exposed to stressful …

Background Machine learning techniques offer promise to improve suicide risk prediction. In
the current systematic review, we aimed to review the existing literature on the application of …

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Objectives To map organisational interventions for workplace suicide prevention, identifying
the effects, mechanisms, moderators, implementation and economic costs, and how …

Attention about the risks of online social networks (SNs) has been called upon reports
describing their use to express emotional distress and suicidal ideation or plans. On the …

Introducción El suicidio es una de las 10 principales causas de muerte a nivel mundial. La
conducta suicida es resultado de la interrelación de factores psicopatológicos (depresión …

BACKGROUND: The prevention of the repetition of suicide attempts is an important feature
of the care of attempters but current data fail to give actual predictors of repetition. The aim of …

Learning Objectives: After participating in this educational activity, the psychiatrist should be
better able to 1. Identify the characteristic features of suicide reattempters. 2. Evaluate the …