Machine Learning Model for Prediction of Permanent Stoma after Anterior Resection of Rectal Cancer

Retrospective study develops a machine learning model to predict permanent stoma formation post rectal cancer surgery. Utilizing support vector machine algorithm, the model shows high accuracy (AUC: 0.854) in training, testing, and external validation sets, aiding in preoperative patient stratification and personalized treatment plans. Results offer a practical tool for clinicians to enhance patient outcomes and quality of life.