ROC-AUC with Permutation Tests for DP Diagnosis Using SNBRs and ISRs

ROC-AUC with permutation tests regarding the diagnosis of DP using subregional SNBRs and ISRs in the internal and independent validation sets. The dataset is a 5.5 KB Excel file authored by Changhwan Sung and last updated on May 14, 2026. It is licensed under CC-BY-4.0 and hosted on figshare.

Use Cases

• Validate diagnostic model performance based on ROC-AUC metrics
• Assess statistical significance of model features using permutation tests
• Compare model generalizability between internal and independent validation sets

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Includes results from both internal and independent validation sets, which suggests a robustness check.

Limitations

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

Provenance

Source

Changhwan Sung via figshare

Freshness

Last updated 2026-05-14 17:50:23; freshness should be verified.