Gastric Cancer Patient BMI Measurements with Time-Dependent Prognostic Analysis

A clinical dataset from figshare, authored by Ryohei Nishiguchi, examining the prognostic value of time-dependent body mass index changes in gastric cancer patients. The dataset is 73.5 KB in size and was last updated on March 22, 2026. It is provided as an XLSX file under a CC0 1.0 license.

Use Cases

• Modeling patient survival based on time-dependent BMI changes mentioned in the description
• Comparing the prognostic power of static versus dynamic BMI measurements for gastric cancer
• Training machine learning models to predict clinical outcomes using longitudinal body mass data

Strengths

• Dataset is small (73.5 KB), facilitating quick download and initial exploration.
• Data is shared under a permissive CC0 1.0 license, allowing for broad reuse.

Limitations

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

Provenance

Source

figshare, author Ryohei Nishiguchi

Freshness

Last updated 2026-03-22 12:15:45; freshness should be verified.