Copyright: ©Author(s) 2026.
World J Gastroenterol. Dec 14, 2026; 32(46): 121708
Published online Dec 14, 2026. doi: 10.3748/wjg.121708
Published online Dec 14, 2026. doi: 10.3748/wjg.121708
Figure 7 Brier scores for the four-layer models.
A: Layer 1 Brier scores (demographics); B: Layer 2 Brier scores (demographics + inflammation); C: Layer 3 Brier scores (demographics + lipid); D: Layer 4 Brier scores (all features). KNN: K-Nearest Neighbors; MLP: Multi-Layer Perceptron; GBDT: Gradient Boosting Decision Tree; RotF: Rotation Forest; RF: Random Forest; DT: Decision Tree; SVM: Support Vector Machine; LR: Logistic regression; NB: Naive Bayes; GAM: Generalized Additive Model.
- Citation: Du YY, Liu YM, Fang RY, Zheng HG. Inflammation-lipid metabolism biomarker-based machine learning models for predicting postoperative pulmonary metastasis in colorectal cancer. World J Gastroenterol 2026; 32(46): 121708
- URL: https://www.wjgnet.com/1007-9327/full/v32/i46/121708.htm
- DOI: https://dx.doi.org/10.3748/wjg.121708