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NeuroHAGWO-Net, an AI framework for mental health detection, achieved an accuracy of 0.9945 on behavioral data and 0.9935 on EEG signals. The dataset, authored by Sunil Kumar Sharma and last updated in April 2026, contains performance metrics for this multimodal model combining EEG and text data.
Data is in XLS (Excel) format; requires compatible software to open.