Cleveland Clinic Patient Records for Heart Disease Classification

303 patient records from the Cleveland Clinic in the United States. The data is intended for classifying the presence of heart disease. The author, organization, and specific collection date are unknown.

Use Cases

• Train a binary classifier to predict heart disease presence based on patient records.
• Analyze risk factors associated with heart disease based on the clinical features mentioned.
• Benchmark machine learning algorithms for medical diagnostic tasks using a known clinical dataset.

Strengths

• Contains 303 patient records, providing a foundation for model training.
• Data originates from a known medical institution, the Cleveland Clinic.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is relatively small, which may limit model complexity and generalizability.
• Last update date is unknown; freshness unverified.

Provenance

Source

Cleveland Clinic

Geography

United States