Additional file 1 of Reducing demographic bias in biomedical machine learning for cancer d

A 54.7 KB Excel file contains 7 supplementary tables referenced in a research manuscript. The tables include clinical and demographic characteristics of datasets and AUROC values with confidence intervals for machine learning methods. The file was authored by Shuo Li and last updated on April 23, 2026.

Use Cases

• Benchmarking model performance based on AUROC values and confidence intervals across multiple datasets.
• Analyzing demographic and clinical characteristics of study cohorts to assess potential data bias.
• Reproducing results from the associated manuscript on reducing bias in biomedical machine learning.

Strengths

• Contains AUROC values and confidence intervals for all methods across all datasets, providing a basis for performance comparison.
• Includes clinical and demographic characteristics, which are key for bias analysis.
• Released under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• The 54.7 KB size suggests a limited scope, likely containing summary statistics rather than raw patient-level data.

Provenance

Source

figshare

Collection Method

Compiled as supplementary material for an academic manuscript.

Freshness

Last updated 2026-04-23 04:42:31; freshness should be verified.