Heart Disease Prediction: Clinical Data with 14 Attributes

14 attributes describe patient data for predicting the presence of heart disease. The target field is an integer indicating the presence (1) or absence (0) of heart disease. This database was created by the Cleveland Clinical Foundation.

Use Cases

• Train binary classifiers to predict heart disease presence based on the 14 clinical attributes.
• Benchmark feature selection and model performance for medical diagnostic tasks.
• Study the relationship between clinical attributes and heart disease outcomes.

Strengths

• The target variable is clearly defined as a binary integer (0 or 1) for heart disease presence.
• The data originates from a known medical institution, the Cleveland Clinical Foundation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling needs.
• Last update date is unknown; freshness unverified.

Provenance

Source

Cleveland Clinical Foundation