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©The Author(s) 2025.
World J Clin Cases. Aug 6, 2025; 13(22): 104379
Published online Aug 6, 2025. doi: 10.12998/wjcc.v13.i22.104379
Published online Aug 6, 2025. doi: 10.12998/wjcc.v13.i22.104379
Figure 1 Importance of variables for differentiating.
A: Importance of variables for differentiating between acute appendicitis (AAp) and control groups; B: Importance of variables for differentiating between complicated AAp and uncomplicated AAp. PLT: Platelet; IG: Immature granulocytes; MPV: Mean platelet volume; NLR: Neutrophil-to-lymphocyte ratio; LMR: Lymphocyte-to-monocyte ratio; WBC: White blood cell.
Figure 2 Graphical summary of the study.
NLR: Neutrophil-to-lymphocyte ratio; LMR: Lymphocyte-to-monocyte ratio; WBC: White blood cell.
- Citation: Kucukakcali Z, Akbulut S. Role of immature granulocyte and blood biomarkers in predicting perforated acute appendicitis using machine learning model. World J Clin Cases 2025; 13(22): 104379
- URL: https://www.wjgnet.com/2307-8960/full/v13/i22/104379.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v13.i22.104379