Performance of Combined Laboratory Parameters in Predicting Disease

13.5 KB of data in XLS format, uploaded to figshare by Putthapon Teepapan. The dataset contains laboratory parameters, including autoantibody titers and white blood cell counts, for predicting clinical disease activity. It was last updated on March 18, 2026.

Use Cases

• Developing diagnostic models based on combined laboratory parameters like autoantibody titers.
• Evaluating the correlation between specific markers (e.g., IFN-γ, inhibitory ELISA titers) and clinical disease activity.
• Benchmarking the specificity and sensitivity of laboratory tests for disease prediction.

Strengths

• Data is shared under a permissive CC-BY-4.0 license.
• The 13.5 KB file size suggests a focused, manageable dataset for initial analysis.

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

Putthapon Teepapan via figshare.

Freshness

Last updated 2026-03-18 17:41:31; freshness should be verified.