Survey explores explainable AI for mental disorder detection via social media

This paper surveys the use of explainable AI (XAI) for detecting mental disorders through social media data. It reviews current machine learning and deep learning methods, emphasizing the need for transparency and interpretability in healthcare AI. The survey also covers datasets, evaluation metrics, and identifies challenges and future research directions for developing ethical and effective XAI applications in mental healthcare. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Provides a comprehensive overview of XAI in mental health, guiding future research and policy for more transparent AI applications.

RANK_REASON This is a survey paper on a specific application of AI.

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• Explainable AI
• AI
• Machine Learning
• Deep Learning
• Social Media
• Mental Health
• Mental Disorder Detection
• Yusif Ibrahimov

• paper
• safety