Prognostic Models for Type 2 Diabetes After Gestational Diabetes: Supplementary Data

Supplementary material from a systematic review comparing traditional and AI-based models for predicting type 2 diabetes mellitus following gestational diabetes. The dataset, published on figshare by Nigus Bililign Yimer, is a 40.1 KB Excel file last updated in April 2026. Its specific content and row count are not detailed in the available metadata.

Use Cases

• Benchmarking AI model performance against traditional statistical methods for diabetes prediction (inferred from domain, verify after download)
• Extracting structured data for meta-analysis on prognostic factors for type 2 diabetes (inferred from domain, verify after download)
• Training or validating risk stratification models using features from systematic review findings (inferred from domain, verify after download)

Strengths

• Published under a permissive CC-BY-4.0 license for reuse.
• File size of 40.1 KB suggests a focused, manageable dataset for analysis.
• Last update timestamp (2026-04-21 04:01:51) is provided.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count and column definitions are unknown, limiting suitability assessment.
• Data may reflect the specific study selection and methodological bias inherent to the source systematic review.

Provenance

Source

figshare, authored by Nigus Bililign Yimer.

Collection Method

Likely compiled as supplementary material for a systematic review.

Freshness

Last updated 2026-04-21 04:01:51.