Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. Sep 15, 2026; 18(9): 121356
Published online Sep 15, 2026. doi: 10.4251/wjgo.121356
Published online Sep 15, 2026. doi: 10.4251/wjgo.121356
Figure 6 support vector machine model interpretable analysis SHapley Additive exPlanation plot.
A: Feature importance bar chart; B: Swarm plot. The X-axis represents SHapley Additive exPlanation values, with positive values indicating an increased probability of esophagogastric variceal bleeding and negative values indicating a decreased probability. Dot colors represent feature values, ranging from low (blue) to high (red). Albumin, splenic vein diameter, and tumor burden score are continuous variables, while ascites is a binary variable. SHAP: SHapley Additive exPlanation.
- Citation: Luo Q, Zhang C, Luo YP. Development and validation of machine learning models for esophagogastric variceal bleeding risk in hepatocellular carcinoma patients. World J Gastrointest Oncol 2026; 18(9): 121356
- URL: https://www.wjgnet.com/1948-5204/full/v18/i9/121356.htm
- DOI: https://dx.doi.org/10.4251/wjgo.121356