[HTML][HTML] Detection of depression and suicide risk based on text from clinical interviews using machine learning: possibility of a new objective diagnostic marker

D Shin, K Kim, SB Lee, C Lee, YS Bae, WI Cho… - Frontiers in …, 2022 - frontiersin.org
Background Depression and suicide are critical social problems worldwide, but tools to
objectively diagnose them are lacking. Therefore, this study aimed to diagnose depression …

Towards a machine learning framework for suicide ideation detection in Twitter

YQ Lim, MJ Lee, YL Loo - 2022 3rd International Conference on …, 2022 - ieeexplore.ieee.org
A worldwide rise of number of individuals had been observed to commit suicide at young
age since 2019. With emergence of digital technologies, more suicides attempts were seen …

Text analysis of suicide risk in adolescents and young adults

JW Guo, J Kimmel, LA Linder - Journal of the American …, 2024 - journals.sagepub.com
OBJECTIVE: Suicide is of primary public concern for adolescents and young adults (AYAs)
who commonly use social media platforms to express their suicidal thoughts and behaviors …

Automatic identification of suicidal ideation in texts using cascade classifiers

MC García-Galindo, Á Hernández-Castañeda… - … Conference on Artificial …, 2022 - Springer
Abstract According to the 2021 World Health Organization report, suicide is a universal
phenomenon that causes about 703,000 deaths per year, being among the first five causes …

Using targeted betweenness centrality to identify bridges to neglected users in the Twitter conversation on veteran suicide

BC Britt, JL Hayes, A Musaev… - Social Network Analysis …, 2021 - Springer
There are many real-world contexts in which it would be invaluable to identify intermediaries
who serve as bridges for specified dyads. For instance, with respect to suicide prevention …

Characteristics of Multi-Class Suicide Risks Tweets Through Feature Extraction and Machine Learning Techniques

YQ Lim, YL Loo - JOIV: International Journal on Informatics Visualization, 2023 - joiv.org
This paper presents a detailed analysis of the linguistic characteristics connected to specific
levels of suicide risks, providing insight into the impact of the feature extraction techniques …

[HTML][HTML] Contributions of health technologies in risk assessment for suicide behavior: an integrative review

DM Rocha, AKCB Cavalcante, AC Oliveira… - Revista Brasileira de …, 2021 - SciELO Brasil
Objective: to identify how health technologies contribute to risk assessment for suicidal
behavior. Methods: an integrative review carried out on the MEDLINE, CINAHL, Web of …

DETECCIÓN DEL RIESGO DE SUICIDIO A TRAVÉS DE LAS REDES SOCIALES Estudio piloto.

S Arilla-Andrés, C García-Martínez… - TECHNO …, 2022 - search.ebscohost.com
Suicide is a devastating problem, 800,000 people end their lives each year. Suicide
prevention has become a primary objective, but now no sufficient preventive actions have …

[PDF][PDF] The language of suicide

D Lester - The end of suicidology continued: David Lester 2 An …, 2021 - researchgate.net
Suicidologists5 have given much thought to the definition of suicidal behavior. The Centers
for Disease Control convened a workgroup which published Operational Criteria for the …

[PDF][PDF] Detecting Depression and Suicidal Ideation from Texts using Machine Learning & Deep Learning Techniques

S Gupta, AM Sinha, D Prodhan, N Ghosh, S Modak - 2023 - researchgate.net
Suicide has emerged as a pressing societal health concern in contemporary times. Suicidal
intent refers to an individual's contemplation of taking one's own life, and such tragedies …