Inflammation-lipid metabolism biomarker-based machine learning models for predicting postoperative pulmonary metastasis in colorectal cancer

Figure 11  SHapley Additive exPlanations global analysis. A: Feature importance bar chart and Nightingale rose chart. The bar chart ranks features in descending order by mean absolute SHapley Additive exPlanations value; bar length represents global importance. The Nightingale rose chart displays the relative contribution proportions of each feature; B: Beeswarm plot showing the directional impact and distribution of each feature on model predictions. LCR: Lymphocyte-to-C-reactive protein ratio; BMI: Body mass index; CAR: C-reactive protein-to-albumin ratio; FHR: Fibrinogen-to-high-density lipoprotein cholesterol ratio; ApoB/ApoA1: Apolipoprotein B-to-apolipoprotein A1 ratio; SHAP: SHapley Additive exPlanations; LMR: Lymphocyte-to-monocyte ratio; FAR: Fibrinogen-to-albumin ratio; PLR: Platelet-to-lymphocyte ratio; TyG-BMI: Triglyceride-glucose-body mass index.