University Student Depression Risk Assessment Data for Hybrid Intelligent Models

Data supporting a hybrid intelligent multimodal assessment model for identifying depression risk in university students. The dataset was uploaded by author f y to figshare and last updated on 2026-05-15. It includes CSV files among other formats and is licensed under CC-BY-4.0.

Use Cases

• Training a hybrid intelligent model for depression risk identification based on multimodal assessment data.
• Benchmarking self-attention mechanisms and convolutional neural networks for mental health classification tasks.
• Analyzing patterns in university student mental health data to inform support interventions.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Includes multiple file formats (PDF, PY, CSV, VSDX) suggesting supporting code and documentation.
• Last update timestamp is 2026-05-15 04:46:50.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The 2.3 MB size suggests a small dataset, which may limit model training.

Provenance

Source

figshare

Collection Method

Likely collected for research on a hybrid intelligent multimodal assessment model.

Freshness

Last updated 2026-05-15 04:46:50.