Interpretable LightGBM Predicts Post-Esophageal Surgery Leak

Interpretable LightGBM Predicts Post-Esophageal Surgery Leak

In a groundbreaking advancement at the intersection of oncology and artificial intelligence, researchers have introduced a novel interpretable machine learning model designed to predict anastomotic leakage (AL) following esophageal cancer surgery. This breakthrough leverages the Light Gradient Boosting Machine (LightGBM) algorithm, renowned for its efficiency and predictive accuracy, to address one of the most critical and devastating complicati…