Patient Cohort Description for Transplant Mortality Risk Prediction

A patient cohort table describing donor, procedural, recipient, and complication factors for a transplant study. The dataset employs a TDA-ML approach for mortality risk prediction and is authored by Alexy Tran-Dinh. It was last updated on May 5, 2026.

Use Cases

• Predict mortality risk based on donor factors mentioned in the description
• Analyze post-transplant complications based on complication factors mentioned in the description
• Model transplant outcomes based on procedural and recipient factors mentioned in the description
• Validate the TDA-ML approach for clinical risk prediction mentioned in the description

Strengths

• The dataset is licensed under CC-BY-4.0, allowing for open use and redistribution
• The description explicitly mentions donor, procedural, recipient, and complication factors, suggesting a multi-faceted view of transplant outcomes

Limitations

• 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 2026-05-05 18:00:16; freshness should be verified