Prediction model for postoperative pulmonary complications after thoracoscopic surgery with machine learning algorithms and SHapley Additive exPlanations

The risk prediction model for PPCs based on the explainable ML methods is valid and, therefore, can be implemented in clinical settings for identifying high-risk patients for PPCs, providing appropriate clinical advice regarding targeted interventions and improved monitoring to alleviate modifiable risk factors.