Prediction of post-operative acute pancreatitis in children with pancreaticobiliary maljunction using machine learning model

This study developed machine learning models to predict post-operative acute pancreatitis risk in children with pancreaticobiliary maljunction undergoing surgery. Using data from 111 pediatric patients, the logistic regression model with nomogram showed highest predictive performance, identifying protein plugs, age, WBC count, and common bile duct diameter as key risk factors.