Comparison of Models for Short-Term Prediction of COPD Exacerbations

A comparison with prior work for short-term prediction of acute exacerbations of chronic obstructive pulmonary disease (AECOPD). The dataset is a 9.5 KB Excel file authored by Florian Tilquin and shared under a CC-BY-4.0 license on figshare.

Use Cases

• Benchmarking new predictive models against prior work for AECOPD.
• Analyzing methodological differences in short-term clinical prediction tasks.
• Training or validating machine learning models for COPD exacerbation risk.

Strengths

• Dataset is openly licensed (CC-BY-4.0) for reuse.
• File size is small (9.5 KB), enabling quick download and inspection.

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-05-28 17:21:45; freshness should be verified.