BVS³ Algorithm: Performance Metrics for Early Detection of AECOPD Events

A 5.5 KB Excel file uploaded by Florian Tilquin on May 28, 2026. It contains performance metrics for the BVS³ algorithm and individual vital-signs Z-scores for the early detection of Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) events. The dataset is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Benchmarking the BVS³ algorithm's performance against individual vital-sign metrics for AECOPD detection.
• Analyzing the diagnostic utility of Z-scores derived from patient vital signs.
• Comparing algorithm performance across various evaluation metrics mentioned in the description.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Has a clear, permissive license (CC-BY-4.0) for reuse.
• Focuses on a specific clinical application (AECOPD detection) with a named algorithm (BVS³).

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and methodology require verification.
• The temporal and geographic scope of the underlying data is not specified.

Provenance

Source

figshare

Freshness

Last updated 2026-05-28 17:21:44; freshness should be verified.