G-Health Risk Assessment Datasets for Diabetes and Other Diseases

Risk assessment training data used in G-Health, organized into four task types to support end-to-end health examination modeling. The largest component is tabular classification, combining public and in-house datasets across a range of diseases and risk themes, including diabetes in three complementary settings. The dataset was authored by YDXX and last updated on March 12, 2026.

Use Cases

• Train models for pre-examination diabetes risk screening based on described risk themes.
• Perform classification of diabetes based on examination results mentioned in the description.
• Develop end-to-end health examination models using the four described task types.

Strengths

• Organized into four distinct task types for structured modeling.
• Includes three complementary settings for diabetes risk assessment.
• Combines public and in-house datasets, suggesting diverse sources.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

YDXX via Hugging Face.

Collection Method

Combination of public and in-house datasets, likely gathered for G-Health project.

Time Range

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Freshness

Last updated 2026-03-12 08:20:21; freshness should be verified.

Geography

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