Construction and validation of a machine learning model for predicting anastomotic leak following radical esophagectomy for esophageal cancer
The RF model, incorporating five routinely available preoperative variables, exhibited robust discriminative performance with high SEN for predicting in-hospital AL following esophagectomy and the proposed threshold-based risk stratification approach may facilitate individualized perioperative monitoring and management...