55,000 patient records containing real-world healthcare data across demographic and clinical categories. The dataset includes information on patient conditions and hospital-related interactions for a large-scale cohort.
Use Cases
- Predict hospital readmission rates using the conditions and hospital-specific data columns
- Segment patient populations by demographic features to identify health disparities in specific conditions
- Train classification models to categorize patient risk levels based on historical condition data
Strengths
- 55,000 individual patient records representing real-world healthcare interactions
- Demographic features including age, gender, or location-based identifiers
- Clinical condition data mapping specific diagnoses to patient IDs
- Hospital-level data points covering admissions or facility-specific metrics