Prediction of parastomal hernia in patients undergoing preventive ostomy after rectal cancer resection using machine learning

Machine learning, particularly the RF model, demonstrates high accuracy and reliability in predicting PSH after preventive ostomy in rectal cancer patients. This technology supports personalized risk assessment and postoperative management, showing significant potential for clinical application. An online predictive platform based on the RF model (https://yangsu2023.shinyapps.io/parastomal_hernia/) has been developed to assist in early screening and intervention for high-risk patients, further enhancing postoperative management and improving patients' quality of life.