Patient Characteristics in Training and Validation Sets

Peng Zhou published a dataset of patient characteristics on figshare in April 2026. The dataset is structured for training and validation purposes and is available as a 5.5 KB Excel file under a CC-BY-4.0 license.

Use Cases

• Train predictive models based on patient characteristics.
• Validate model performance using a separate validation set.
• Analyze patient demographics and clinical features.
• Benchmark machine learning algorithms on clinical data.

Strengths

• Data is explicitly structured for training and validation, which is a common requirement for ML workflows.
• The dataset is published under a CC-BY-4.0 license, allowing for broad reuse.

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-04-24 17:43:46; freshness should be verified.