©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
Table 4 Importance of variables in differentiating complicated acute appendicitis from the uncomplicated acute appendicitis
| Variables | Variables importance (%) |
| Total bilirubin | 100 |
| WBC | 96.90 |
| Neutrophil to IG ratio | 64.05 |
| NLR | 63.53 |
| Ferritin | 63.27 |
| Monocyte | 62.13 |
| LMR | 34.83 |
| MPV | 34.53 |
| Lymphocyte | 34.33 |
| Platelet | 31.07 |
| Neutrophil | 29.54 |
| Age | 28.75 |
| Sex | 0.80 |
| IG | 0.38 |
- 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