Predict Hospital Patient Readmission Rates for Targeted Intervention Strategies

Analyze historical medical records and demographic data to predict hospital patient readmission rates for {{analysis_scope_and_definitions}}. **Data Sources and Types:** The available data includes {{data_sources_and_types}}. **Key Predictive Factors to Investigate:** Focus the analysis on identifying the most influential factors related to {{key_predictive_factors_of_interest}}. **Analysis Objectives:** 1. Develop a predictive model for patient readmission risk. 2. Identify the top N (e.g., top 5-10) most significant factors contributing to readmission. 3. Characterize high-risk patient cohorts based on these factors. **Desired Output:** Provide a report in {{desired_analysis_output_format}} format that includes: - Summary of the predictive model's performance (e.g., accuracy, precision, recall, F1-score). - A ranked list of the most impactful predictive features. - Detailed profiles of patient cohorts with high readmission risk. - Actionable recommendations for targeted interventions focusing on {{intervention_strategy_focus}} to reduce readmission rates, improve patient outcomes, and optimize resource utilization.