Healthcare
Hospital Readmission Risk Predictor
Predictive model identifying patients at high risk of readmission within 30 days
- Python
- Machine Learning
- SQL
About this project
Created a readmission risk prediction model analyzing patient demographics, diagnosis codes, treatment history, and social determinants of health. The model identifies high-risk patients before discharge, enabling care coordinators to implement targeted follow-up protocols. Reduced 30-day readmission rates by 19%, improving patient outcomes and reducing costs.