bitfatmonkey/hospital-readmission-prediction

This is an educational, reproducible hospital-readmission modelling project—not a deployed clinical service. Its main workflow loads the bundled UCI data, defines a discharge-time cohort, creates patient-separated holdouts and training folds, fits and selects models, then evaluates the selected model and explains its predictions. The graph also preserves the project’s EDA, subgroup analysis, reusable local inference, and reproducibility outputs. Edges reflect shown calls or repository references; unsampled implementation details are not expanded.