Executive summary “Depression is a disorder of mood, so mysteriously painful and elusive
in the way it becomes known to the self—to the mediating intellect—as to verge close to …

Suicide prevention in psychiatric practice has been dominated by efforts to predict risk of
suicide in individual patients. However, traditional risk prediction measures have been …

Abstract Machine learning approaches have been used to develop suicide attempt
predictive models recently and have been shown to have a good performance. However …

The past decade has been transformative for mental health research and practice. The
ability to harness large repositories of data, whether from electronic health records (EHR) …

Importance Half of the people who die by suicide make a health care visit within 1 month of
their death. However, clinicians lack the tools to identify these patients. Objective To predict …

Background Early detection and prediction of suicidal behaviour are key factors in suicide
control. In conjunction with recent advances in the field of artificial intelligence, there is …

Importance Because more than one-third of people making nonfatal suicide attempts do not
receive mental health treatment, it is essential to extend suicide attempt risk factors beyond …

Suicide rates have increased in the United States in recent years. Public policies have great
potential to prevent suicide death, and well-designed quasi-experimental studies have …

Background: Growing evidence indicated the higher risk of suicide in cancer survivors
compared with general population. Our aim is to systematically quantify the extent of suicide …

Importance Given that suicide rates have been increasing over the past decade and the
demand for mental health care is at an all-time high, targeted prevention efforts are needed …