<p>Baseline demographics of combined cohorts.</p>

Rachel Mac Cann's 9.5 KB dataset provides baseline demographic data for combined cohorts of people with and without HIV. It supports a study evaluating three recursive feature addition models to cluster individuals based on a 24-marker panel of inflammatory biomarkers linked to cardiovascular disease. The dataset, last updated in April 2026, was used to identify clusters with distinct inflammatory profiles and differing associations with a cardiovascular phenotype.

Use Cases

• Developing unsupervised clustering models based on inflammatory biomarker panels.
• Analyzing associations between biomarker-derived clusters and cardiovascular disease risk.
• Comparing feature selection methods (e.g., recursive feature addition) for enhancing clinical biomarker studies.
• Investigating the role of specific biomarkers like GDF-15, IFN-λ2, and Thrombopoietin in immune activation.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The underlying study evaluated three distinct recursive feature addition models, providing methodological comparison.
• The initial biomarker panel consisted of 24 markers specifically chosen for links to clinical cardiovascular phenotypes.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

Rachel Mac Cann via figshare.

Collection Method

Likely collected as part of a clinical research study comparing biomarker clustering models.

Time Range

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Freshness

Last updated 2026-04 27 17:33:24; freshness should be verified.

Geography

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