Added value of systemic inflammation markers for monitoring response to neoadjuvant chemotherapy in breast cancer patients

Figure 2 Statistical analysis of features included in machine learning based models. A: Heatmap representing the correlation between candidate variables included in predictive models using Spearman’s correlation coefficient; B: Scaled importance rank of all features included in predictive models for identifying risk of response after neoadjuvant chemotherapy (rNACT) in breast cancer patients; C-J: Box and jitter plots showing distribution of continuous features included in predictive models between rNACT and non-rNACT groups. BMI: Body mass index; PR: Partial response; NLR: Neutrophil-to-lymphocyte ratio; LMR: Lymphocyte-to-monocyte ratio; PLR: Platelet-to-lymphocyte ratio; A/G: Albumin-to-globulin ratio; LDL: Low-density lipoprotein; HDL: High-density lipoprotein; TC: Total cholesterol; TG: Triglyceride.