Fig. 2 | Scientific Reports

Fig. 2

From: Interpretable machine learning analysis of clinicopathological and immunonutritional biomarkers for predicting lymph node metastasis in gastric cancer

Fig. 2

Correlation analysis of continuous variables and variance inflation factor (VIF) analysis of all variables. (A) spearman correlation analysis results between continuous variables, where red indicates positive correlation and blue indicates negative correlation. (B) VIF analysis results, where red indicates potential multicollinearity, yellow indicates mild multicollinearity, and green indicates no multicollinearity. MTD, maximum tumor diameter; SII, systemic immune-inflammation index; RAR, red blood cell distribution width-to-albumin ratio; PNI, prognostic nutritional index; PLR, platelet-to-lymphocyte ratio; PAR, platelet-to-albumin ratio; Lauren type, Lauren histological classification; HRR, hemoglobin-to-red blood cell distribution width ratio; FIB, fibrinogen; CEA, carcinoembryonic antigen; AISI, aggregate index of systemic inflammation; NLR, neutrophil-to-lymphocyte ratio; MLR, monocyte-to-lymphocyte ratio; SIRI, systemic inflammatory response index; dNLR, derived neutrophil-to-lymphocyte ratio; PT, prothrombin time; NPR, neutrophil-to-platelet ratio.

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