Clinical and socioeconomic patient records categorized by medical history and social determinants for 30-day hospital readmission prediction. The data enables the development of risk assessment models that integrate health outcomes with environmental factors.
Use Cases
- Train a binary classifier to predict 30-day readmission using clinical and socioeconomic features
- Quantify the impact of socioeconomic variables on hospital readmission probability
- Identify clinical risk factors by analyzing patient medical history and readmission outcomes
Strengths
- Includes clinical data points related to patient hospital stays
- Features socioeconomic variables to capture social determinants of health
- Provides 30-day readmission labels for binary classification tasks