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Muhammad Hafis

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Open access Aug 2026

Soft voting technique with explainable artificial intelligence (XAI) for predicting depression, anxiety and stress

The proposed model demonstrates the potential of interpretable soft voting as a decision-support tool for mental health severity stratification in resource-constrained settings as well as the limitations of secondary self-reported data and class imbalance.

Yefta Christian, Herman Herman, Muhammad Hafis et al. · 0 citations

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