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 …
[HTML][HTML] Linguistic features of suicidal thoughts and behaviors: A systematic review
S Homan, M Gabi, N Klee, S Bachmann… - Clinical psychology …, 2022 - Elsevier
Abstract Language is a potential source of predictors for suicidal thoughts and behaviors
(STBs), as changes in speech characteristics, communication habits, and word choice may …
(STBs), as changes in speech characteristics, communication habits, and word choice may …
The pushshift reddit dataset
J Baumgartner, S Zannettou, B Keegan… - Proceedings of the …, 2020 - aaai.org
Social media data has become crucial to the advancement of scientific understanding.
However, even though it has become ubiquitous, just collecting large-scale social media …
However, even though it has become ubiquitous, just collecting large-scale social media …
Suicide risk in emerging adulthood: associations with screen time over 10 years
Suicide rates have increased over the past decade, and screen media (and social media in
particular) are often blamed for this marked increase. However, there is little longitudinal …
particular) are often blamed for this marked increase. However, there is little longitudinal …
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 …
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 …
[HTML][HTML] Predicting acute suicidal ideation on Instagram using ensemble machine learning models
Introduction Online social networking data (SN) is a contextually and temporally rich data
stream that has shown promise in the prediction of suicidal thought and behavior. Despite …
stream that has shown promise in the prediction of suicidal thought and behavior. Despite …
The role of new technologies to prevent suicide in adolescence: a systematic review of the literature
Background and objectives: Suicide in adolescents represents a major public health
concern. To date, a growing number of suicide preventive strategies based on the use of …
concern. To date, a growing number of suicide preventive strategies based on the use of …
Acoustic and language analysis of speech for suicidal ideation among US veterans
A Belouali, S Gupta, V Sourirajan, J Yu, N Allen… - BioData mining, 2021 - Springer
Background Screening for suicidal ideation in high-risk groups such as US veterans is
crucial for early detection and suicide prevention. Currently, screening is based on clinical …
crucial for early detection and suicide prevention. Currently, screening is based on clinical …
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 …