DHGN Model Score vs PD-L1 Expression for NSCLC Survival Outcomes

9.5 KB Excel file compares survival outcomes for non-small cell lung cancer patients based on PD-L1 biomarker expression and a deep hypergraph model score. Jiangdian Song published this comparative dataset on figshare in April 2026. The data likely contains paired measurements of a traditional biomarker and an AI-derived prognostic score.

Use Cases

• Benchmark AI-based prognostic scores against established biomarkers based on PD-L1 expression data.
• Validate the DHGN model's predictive power for survival outcomes based on the comparative results.
• Analyze correlations between molecular biomarker levels and computational model scores based on the paired data.

Strengths

• File size is 9.5 KB, indicating a focused and manageable dataset.
• Dataset is openly licensed under CC-BY-4.0, allowing for reuse and redistribution.
• Last updated date is explicitly provided (2026-04-20).

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

figshare

Freshness

Last updated 2026-04-20 18:00:35; freshness should be verified.