In ever more pressured health-care systems, technological solutions offering scalability of
care and better resource targeting are appealing. Research on machine learning as a …

In the past decade, two themes have emerged across suicide research. First, according to
meta-analyses, the ability to predict and prevent suicidal thoughts and behaviours is weaker …

This study aims to identify the timescale of suicidal thinking, leveraging real-time monitoring
data and a number of different analytic approaches. Participants were 105 adults with past …

Abstract Purpose of Review Individuals with personality disorders are frequently seen in
mental health settings. Their symptoms typically reflect a high level of suffering and burden …

Background LGBTQ+ youth experience disproportionately high rates of online victimization
(OV), referring to harmful remarks, images, or behaviors in online settings, which is …

Introduction When people feel hopeless, they are more likely to think about suicide. Prior
work has shown that both hopelessness and suicidal ideation fluctuate over time; however …

Although nonsuicidal self-injury (NSSI)—deliberate damaging of body tissue without suicidal
intent—is a behavior that occurs in interaction with real-world contexts, studying NSSI in the …

Ecological momentary assessment (EMA) is increasingly used to study suicidal thoughts
and behaviors (STBs). There is a potential ethical obligation for researchers to intervene …

Abstract Theory-driven and data-driven computational approaches to psychiatry have
enormous potential for elucidating mechanism of disease and providing translational …

Suicide rates in the United States have increased over the past 15 years, with substantial
geographic variation in these increases; yet there have been few attempts to cluster counties …