Abstract Machine learning analysis of social media data represents a promising way to
capture longitudinal environmental influences contributing to individual risk for suicidal …

Lockdown, social isolation, and interruption of daily life during the COVID-19 period have
impacted many lives. University students are particularly vulnerable to such disruptions and …

Como nossas atitudes em relação ao suicídio interferem na prática clínica? Quais
características pessoais e circunstâncias mais se associam ao suicídio? Como estimar o …

Context Although suicide is the third leading cause of death among US adolescents, little is
known about the prevalence, correlates, or treatment of its immediate precursors, adolescent …

Objective College entrance may be a strategically well-placed “point of capture” for detecting
late adolescents with suicidal thoughts and behaviors (STB). However, a clear …

Importance Although suicide is a leading cause of death for children in the United States,
and the rate of suicide in childhood has steadily increased, little is known about suicidal …

Background Comorbidity between depressive and anxiety disorders is common. From
network perspective, mental disorders arise from direct interactions between symptoms and …

We aimed to do a systematic review and meta-analysis of studies describing suicidal
ideation, suicide attempts and suicide and associated risk factors during COVID-19 …

The suicide death toll is alarmingly high, outnumbering deaths from war and homicide
worldwide (1). Many factors contribute to suicide death, making it difficult to prevent because …

Objective: The purpose of this article was to determine whether longitudinal historical data,
commonly available in electronic health record (EHR) systems, can be used to predict …