Alejandro Corrales-Barrera

Code and Processed Data for A Fairness-Aware and Explainable Machine Learning Framework for Predicting 30-Day Hospital Readmission in Patients with Diabetes

This Jupyter Notebook presents a comprehensive pipeline for predicting hospital readmissions in diabetic patients using the "Diabetes 130-US hospitals" dataset. The study focuses on the dual challenge of model performance and ethical AI. Key features of this notebook: Preprocessing: Handling of missing data and categor...