Enhanced Heart Disease Data with Derived Features

An enhanced version of the classic UCI Heart Disease dataset, enriched with feature engineering for advanced analysis. It was created by nezahatkorkmaz and last updated on March 24, 2025.

Use Cases

• Predict heart disease presence using original clinical features like age, sex, and cholesterol levels.
• Analyze cardiovascular risk patterns using derived variables engineered from the original clinical data.
• Train classification models to distinguish between patients with and without heart disease based on the enhanced feature set.

Strengths

• Enhanced with several derived variables beyond the original clinical features.
• Based on the established and widely-used UCI Heart Disease dataset.

Limitations

• Unknown row count and sample size.
• Unknown specific column names and data completeness.

Provenance

Source

UCI Heart Disease dataset.

Collection Method

Feature engineering applied to the original source.

Freshness

Last updated March 24, 2025.