Patient Characteristics for Gastric Cancer Across Training, Validation, and Test Sets

Characteristics of patients with gastric cancer in training, validation and test set. The dataset was authored by Chao Zhang and last updated on May 14, 2026. It is a small dataset of 9.5 KB, stored in an XLS file format.

Use Cases

• Training machine learning models for gastric cancer prognosis based on patient characteristics.
• Validating predictive models for gastric cancer using a separate patient cohort.
• Testing model performance on an independent set of gastric cancer patient data.
• Comparing patient characteristics across different data splits for bias analysis.

Strengths

• Dataset is structured into training, validation, and test sets, which supports robust model development.
• The dataset is licensed under CC-BY-4.0, allowing for open sharing and reuse.

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

Chao Zhang

Freshness

Last updated 2026-05-14 17:44:44; freshness should be verified.