Deconstructing Risk: A Machine Learning-Guided Logistic Regression Model for Predicting Early Mucosal Edema Following Prophylactic Ileostomy in Elderly Rectal Cancer Patients
Background Early mucosal edema is a common and burdensome complication following prophylactic ileostomy in elderly rectal cancer patients, yet effective tools for its pre-operative prediction are lacking. This study aimed to develop and validate an interpretable, machine learning-guided logistic regression model for th...