Suicide is the second leading cause of death among young adults but the challenges of
preventing suicide are significant because the signs often seem invisible. Research has …

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 …

Objective The rapid proliferation of machine learning research using electronic health
records to classify healthcare outcomes offers an opportunity to address the pressing public …

Inpatient violence is a common and severe problem within psychiatry. Knowing who might
become violent can influence staffing levels and mitigate severity. Predictive machine …

(1) Introduction: Around a million people are reported to die by suicide every year, and due
to the stigma associated with the nature of the death, this figure is usually assumed to be an …

Technology has redefined the way patients and providers communicate and obtain health
information. The realm of digital health encompasses a diverse set of technologies …

Background: The use of information and communication technology (ICT) in suicide
prevention has progressed rapidly over the past decade. ICT plays a major role in suicide …

Objective Instruments rating risk of harm to self and others are widely used in inpatient
forensic psychiatry settings. A potential alternate or supplementary means of risk prediction …

Electronic medical record (EMR)-based suicide risk prediction methods typically rely on
analysis of structured variables such as demographics, visit history, and prescription data …

Abstract Purpose of Review Applying text mining to suicide research holds a great deal of
promise. In this manuscript, literature from 2019 to 2021 is critically reviewed for text mining …