Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models

Z Cui, C Lei, W Wu, Y Duan, D Qu, J Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
The early detection of suicide risk is important since it enables the intervention to prevent
potential suicide attempts. This paper studies the automatic detection of suicide risk based …

[PDF][PDF] Mental health and the COVID-19 pandemic: analysis of Twitter discourse

O El-Gayar, A Wahbeh, T Nasralah, A Elnoshokaty… - 2021 - scholar.dsu.edu
This study analyzed Twitter discourse to understand the association of the COVID-19
pandemic with mental health. The study compared tweets' volume over time, tweets' volume …

Prediction of suicide risk using machine learning and big data

TH Roza, TA Salgado, CS Machado, D Watts… - Digital mental health: a …, 2023 - Springer
Suicide remains a preventable, yet persistent public health challenge and is the second
leading cause of death among young people. To date, the assessment of suicide risk …

Do media coverage of suicides and search frequency on suicides predict the number of tweets seeking others for a suicide pact?

SY Lee - Frontiers in psychiatry, 2023 - frontiersin.org
We examined whether media coverage of suicides and frequencies of searching for suicide
methods or suicide pacts predicted the number of users posting tweets seeking others for a …

A machine learning approach to identification of self-harm and suicidal ideation among military and police Veterans

S Colic, JC He, JD Richardson… - Journal of Military …, 2022 - jmvfh.utpjournals.press
LAY SUMMARY Combat Veterans are vulnerable to suicidal thoughts and behaviour. Many
who die by suicide deny having suicidal ideation (SI). Typically, researchers try to find …

Artificial intelligence in violence risk assessment: addressing racial bias and inequity

R Ratajczak, RG Cockerill - Journal of Psychiatric Practice®, 2023 - journals.lww.com
Although there has been no shortage of technological innovation in recent decades, a
solution to sociodemographic disparities in the forensic setting has remained elusive …

A Big Data Analytics System for Predicting Suicidal Ideation in Real-Time Based on Social Media Streaming Data

MA Allayla, S Ayvaz - arXiv preprint arXiv:2404.12394, 2024 - arxiv.org
Online social media platforms have recently become integral to our society and daily
routines. Every day, users worldwide spend a couple of hours on such platforms, expressing …

Enhancing Suicide Risk Assessment: A Speech-Based Automated Approach in Emergency Medicine

S Amiriparian, M Gerczuk, J Lutz, W Strube… - arXiv preprint arXiv …, 2024 - arxiv.org
The delayed access to specialized psychiatric assessments and care for patients at risk of
suicidal tendencies in emergency departments creates a notable gap in timely intervention …

A Comparative Study of Predicting Mental Distress in Patients via Social Media Interactions: Artificial Intelligence versus Ensemble Machine Learning Approaches

A Saxena, NK Shruthi, NG Rao - … International Conference on …, 2023 - ieeexplore.ieee.org
Mental health of a person is a reflection of their emotional, psychological, and social well-
being. It establishes one's feelings, thoughts, and reactions to circumstances. With sound …

[图书][B] Künstliche Intelligenz

B Heinrichs, JH Heinrichs, M Rüther - 2022 - books.google.com
Unterschiedlichste Anwendungsformen künstlicher Intelligenz (KI) bestimmen schon heute
den Alltag vieler Menschen–von Einsatz von KI-Systeme in Finanzgeschäften über die …