Predictive Modeling of 30-Day Readmission Risk: A Machine Learning Approach for Health Management
Aim: This study aims to develop and evaluate predictive models capable of identifying patients at risk of 30-day readmission using structured inpatient data.Material and Method: The analysis was conducted on a fully synthetic dataset designed to reflect the complexity of real-world clinical data while ensuring the prot...