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Explainable Machine Learning for Suicide Risk Assessment Using Social Media Data

Accurate and interpretable suicide risk assessment is critical for timely intervention in mental health contexts. This study presents an explainable machine learning approach for suicide risk assessment using social media data, evaluating both multi-class and binary classification settings alongside...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Tsholofelo Mokheleli, Tebogo Makaba, Patrick Ndayizigamiye, Nompumelelo Ndlovu, Hossana Twinomurinzi
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2026-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Explainable AI
suicide risk assessment
social media
natural language processing
SHAP
LIME
Online-Zugang:https://ieeexplore.ieee.org/document/11523010/
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