Highlights ■ 30-day unplanned readmission rate was 21.13% across the cohort. ■ Random Forest and LightGBM showed the best-balanced model performance. ■ Prior Emergency Department visits, labs, and vital signs were key readmission predictors. ■ Both models achieved median AUC 0.70 with consistent performance. ABSTRACT Objective: This study aims to develop Machine Learning models to predict 30-day unplanned readmissions in cancer patients treated at a private hospital in Brazil. Methods: This retrospective cohort study included admission records of hospitalizations lasting […]