Copyright
©The Author(s) 2025.
World J Gastroenterol. Mar 21, 2025; 31(11): 102387
Published online Mar 21, 2025. doi: 10.3748/wjg.v31.i11.102387
Published online Mar 21, 2025. doi: 10.3748/wjg.v31.i11.102387
Figure 1 Flowchart of study design route.
EMR: Endoscopic mucosal resection; LR: Logistic Regression; DT: Decision Trees; RF: Random Forest; SVM: Support Vector Machine; XGBoost: EXtreme Gradient Boosting; ROC: Receiver operating characteristic; DCA: Decision curve analysis; SHAP: SHapley Additive exPlanations.
- Citation: Shi YH, Liu JL, Cheng CC, Li WL, Sun H, Zhou XL, Wei H, Fei SJ. Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection. World J Gastroenterol 2025; 31(11): 102387
- URL: https://www.wjgnet.com/1007-9327/full/v31/i11/102387.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i11.102387