Explainable Transformer-Based Framework for Suicide Risk Detection: Deep Learning with Interpretability for Mental Health Crisis Identification

The public health concern of suicide continues to rise and is increasingly prevalent on social media. The severity of this growing issue highlights the need for improved methods for detecting suicide risk. Many current deep learning approaches do not possess the required level of explainability for...

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Auteurs principaux:	Muhammad Azhar, Muhammad Arman, Adeen Amjad, Deshinta Arrova Dewi, Muhammad Usman Ahmad, Shafiq Hussain
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-05-01
Collection:	Information
Sujets:	suicide risk detection DistilBERT Explainable Artificial Intelligence (XAI) natural language processing SHAP psychological well-being
Accès en ligne:	https://www.mdpi.com/2078-2489/17/5/448
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