Xia-Lin Li

Machine learning-based risk prediction model for postoperative abdominal distension after spinal surgery under general anesthesia

The models showed moderate internal discrimination but materially different sensitivity–specificity trade-offs and TreeSHAP consistently identified PCA and drainage tube placement as leading random-forest predictors, while TreeSHAP additionally showed the direction and patient-specific magnitude of each contribution.