Suicide Risk: 100,000 Records with Mental Health Attributes

Encompassing 100,000 records related to mental health factors and suicide tendency. It includes attributes such as Age and Depression Severity, designed for research in mental health and predictive modeling.

Use Cases

• Analyze the correlation between Depression Severity scores and suicide tendency across different Age groups.
• Build a predictive model for suicide risk using Age and Depression Severity as key features.
• Conduct risk factor analysis by examining the distribution of Depression Severity within the 100,000 records.

Strengths

• Contains 100,000 records, providing a substantial sample size for analysis.
• Includes specific attributes like Age and Depression Severity designed for mental health research.
• Dataset is tagged for relevant domains including Mental Health, Risk assessment, and Predictive Modeling.

Limitations

• The specific number of columns (attributes) is unknown, limiting understanding of feature scope.
• Sample data and detailed column descriptions are unavailable, hindering preliminary assessment of data quality and structure.
• Geographic and temporal coverage of the records is unspecified, which may limit generalizability.

Provenance

Source

huggingface, author ajaxxxx

Freshness

Last updated on 2025-03-20.