Deep learning in mental health outcome research: a scoping review
Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …
an individual's physical health. Recently, artificial intelligence (AI) methods have been …
Using social media for mental health surveillance: a review
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …
data may also support standard surveillance approaches and provide decision-makers with …
Knowledge-aware assessment of severity of suicide risk for early intervention
Mental health illness such as depression is a significant risk factor for suicide ideation,
behaviors, and attempts. A report by Substance Abuse and Mental Health Services …
behaviors, and attempts. A report by Substance Abuse and Mental Health Services …
Building and using personal knowledge graph to improve suicidal ideation detection on social media
A large number of individuals are suffering from suicidal ideation in the world. There are a
number of causes behind why an individual might suffer from suicidal ideation. As the most …
number of causes behind why an individual might suffer from suicidal ideation. As the most …
Fair and explainable depression detection in social media
Detection at an early stage is vital for the diagnosis of the majority of critical illnesses and is
the same for identifying people suffering from depression. Nowadays, a number of …
the same for identifying people suffering from depression. Nowadays, a number of …
[HTML][HTML] Ethics and law in research on algorithmic and data-driven technology in mental health care: scoping review
P Gooding, T Kariotis - JMIR Mental Health, 2021 - mental.jmir.org
Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …
driven technologies in the mental health context, including technologies characterized as …
Latent suicide risk detection on microblog via suicide-oriented word embeddings and layered attention
Despite detection of suicidal ideation on social media has made great progress in recent
years, people's implicitly and anti-real contrarily expressed posts still remain as an obstacle …
years, people's implicitly and anti-real contrarily expressed posts still remain as an obstacle …
Machine learning for suicidal ideation identification: A systematic literature review
WF Heckler, JV de Carvalho, JLV Barbosa - Computers in Human Behavior, 2022 - Elsevier
Suicide causes approximately one death every 40 s. Suicidal ideation is the first stage in the
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …
[HTML][HTML] Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation
Background Clinical reports from patients suffering from the novel coronavirus (COVID-19)
reflect a high prevalence of sensory deprivation or loss pertaining to smell …
reflect a high prevalence of sensory deprivation or loss pertaining to smell …
Leveraging reddit for suicidal ideation detection: A review of machine learning and natural language processing techniques
Suicide is a major public-health problem that exists in virtually every part of the world.
Hundreds of thousands of people commit suicide every year. The early detection of suicidal …
Hundreds of thousands of people commit suicide every year. The early detection of suicidal …