TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data
The robust generalization of deep learning models in the presence of inherent noise
remains a significant challenge, especially when labels are subjective and noise is …
remains a significant challenge, especially when labels are subjective and noise is …
Process knowledge-infused learning for suicidality assessment on social media
Improving the performance and natural language explanations of deep learning algorithms
is a priority for adoption by humans in the real world. In several domains, such as …
is a priority for adoption by humans in the real world. In several domains, such as …
A transformer based approach to detect suicidal ideation using pre-trained language models
Detection of Suicidal Ideation in social media has gained special attention in recent years.
Different mental health issues like depression, frustration, hopelessness etc directly or …
Different mental health issues like depression, frustration, hopelessness etc directly or …
Deep sequential models for suicidal ideation from multiple source data
This paper presents a novel method for predicting suicidal ideation from electronic health
records (EHR) and ecological momentary assessment (EMA) data using deep sequential …
records (EHR) and ecological momentary assessment (EMA) data using deep sequential …
Suicidal ideation prediction based on social media posts using a GAN-infused deep learning framework with genetic optimization and word embedding fusion
R Kancharapu, SN Ayyagari - International Journal of Information …, 2024 - Springer
This study tackles the pressing issue of predicting suicidal tendencies on Twitter by
introducing an inventive methodology that integrates Generative Adversarial Networks …
introducing an inventive methodology that integrates Generative Adversarial Networks …
Learning models for suicide prediction from social media posts
We propose a deep learning architecture and test three other machine learning models to
automatically detect individuals that will attempt suicide within (1) 30 days and (2) six …
automatically detect individuals that will attempt suicide within (1) 30 days and (2) six …
Advanced deep learning and large language models for suicide ideation detection on social media
M Qorich, R El Ouazzani - Progress in Artificial Intelligence, 2024 - Springer
Recently, suicide ideations represent a worldwide health concern and pose many
anticipation challenges. Actually, the prevalence of expressing self-destructive thoughts …
anticipation challenges. Actually, the prevalence of expressing self-destructive thoughts …
Suicide Ideation Detection: Harnessing Machine and Deep Learning for Early Risk Identification
The prevalence of suicide and depression has become a growing concern worldwide. Early
detection of individuals at risk plays a crucial role in providing timely interventions and …
detection of individuals at risk plays a crucial role in providing timely interventions and …
SOS-1K: A Fine-grained Suicide Risk Classification Dataset for Chinese Social Media Analysis
In the social media, users frequently express personal emotions, a subset of which may
indicate potential suicidal tendencies. The implicit and varied forms of expression in internet …
indicate potential suicidal tendencies. The implicit and varied forms of expression in internet …
Predicting Suicide Cases Using Deep Neural Network
Suicide is a critical issue in contemporary society, giving rise to significant societal and
economic ramifications. To mitigate these adverse effects, it is imperative to implement …
economic ramifications. To mitigate these adverse effects, it is imperative to implement …