Patient Readmission Risk Prediction System

Create an advanced SQL framework for predicting and analyzing patient readmission risks with high precision. Design queries that integrate multiple data sources including treatment histories, comorbidities, socioeconomic factors, and post-discharge care patterns. Implement sophisticated machine learning-ready feature engineering techniques that can generate robust predictive models for identifying patients at high risk of hospital readmission.