AI Model Predicted Student Mental Health Risk With 95% Accuracy
TL;DR: A 2026 machine-learning study in PLOS One used student mental-health survey features to test an interpretable FT-Transformer plus LSTM model, which reached 95% accuracy for low, medium, and high risk prediction in a public dataset. Key Findings 95% accu…
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