[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review
Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …
people's life with impact on society's health and well-being. Mental illness is a complex multi …
Suicide risk assessment using machine learning and social networks: a scoping review
Abstract According to the World Health Organization (WHO) report in 2016, around 800,000
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …
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 …
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 …
Suicide ideation detection: a comparative study of sequential and transformer hybrid algorithms
Suicide is turning out to be one of the most dangerous health hazards in today's fast paced
world and is one of the leading causes of deaths among general population. Unfortunately, it …
world and is one of the leading causes of deaths among general population. Unfortunately, it …
Sentiment analysis of public social media as a tool for health-related topics
For decades, researchers have experimented with the possibility that machines can equal
human linguistic capabilities. Recently, advances in the field of natural language processing …
human linguistic capabilities. Recently, advances in the field of natural language processing …
Depression and suicide analysis using machine learning and NLP
P Jain, KR Srinivas, A Vichare - Journal of Physics: Conference …, 2022 - iopscience.iop.org
Depression is a common type of mental illness that can impair performance and lead to
suicide ideation or attempts. Traditional techniques used by mental health experts can assist …
suicide ideation or attempts. Traditional techniques used by mental health experts can assist …
[HTML][HTML] Machine learning-based prediction for self-harm and suicide attempts in adolescents
This study aimed to use machine learning (ML) models to predict the risk of self-harm and
suicide attempts in adolescents. We conducted secondary analysis of cross-sectional data …
suicide attempts in adolescents. We conducted secondary analysis of cross-sectional data …
Resilience and social support as protective factors against suicidal ideation among tertiary students during COVID-19: a cross-sectional study
Š Selak, N Crnkovič, A Šorgo, B Gabrovec, K Cesar… - BMC public health, 2024 - Springer
Background Suicidal ideation is a depression symptom which represents a key (cognitive)
component of suicidality and plays an important role in suicide risk detection, intervention …
component of suicidality and plays an important role in suicide risk detection, intervention …
Suicide risk detection using artificial intelligence: the promise of creating a benchmark dataset for research on the detection of suicide risk
Suicide is a leading cause of death that demands cross-disciplinary research efforts to
develop and deploy suicide risk screening tools. Such tools, partly informed by influential …
develop and deploy suicide risk screening tools. Such tools, partly informed by influential …