Copyright
©The Author(s) 2025.
World J Gastroenterol. Mar 21, 2025; 31(11): 100911
Published online Mar 21, 2025. doi: 10.3748/wjg.v31.i11.100911
Published online Mar 21, 2025. doi: 10.3748/wjg.v31.i11.100911
Figure 2 Variable importance ranking.
The SHapley Additive exPlanations histogram shows that the variables with weights from high to low in the model are: Tumor size, Child-Pugh grade, hepatitis B, and Eastern Cooperative Oncology Group score. ECOG score: Eastern Cooperative Oncology Group score; SHAP: The SHapley Additive exPlanations.
- Citation: Huang TF, Luo C, Guo LB, Liu HZ, Li JT, Lin QZ, Fan RL, Zhou WP, Li JD, Lin KC, Tang SC, Zeng YY. Preoperative prediction of textbook outcome in intrahepatic cholangiocarcinoma by interpretable machine learning: A multicenter cohort study. World J Gastroenterol 2025; 31(11): 100911
- URL: https://www.wjgnet.com/1007-9327/full/v31/i11/100911.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i11.100911