Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. Sep 15, 2026; 18(9): 121970
Published online Sep 15, 2026. doi: 10.4251/wjgo.121970
Published online Sep 15, 2026. doi: 10.4251/wjgo.121970
Table 5 Direction of feature effects in the SHapley Additive exPlanations summary
| Feature (Figure 3) | Global direction1 | Spearman ρ | High-tail direction2 | Pos(SHAP) > 0 in top 20% |
| Glucose (mg/dL) | Increases | 0.718 | Decreases | 0.234 |
| Platelet (103/μL) | Increases | 0.640 | Decreases | 0.137 |
| SII | Increases | 0.490 | Decreases | 0.019 |
| Age (years) | Increases | 0.424 | Decreases | 0.006 |
| AST (U/L) | Increases | 0.377 | Decreases | 0.216 |
| NLR | Increases | 0.368 | Increases | 0.931 |
| HDL (mg/dL) | Decreases | -0.133 | Decreases | 0.142 |
| ALT (U/L) | Decreases | -0.187 | Decreases | 0.000 |
| NHR | Decreases | -0.263 | Decreases | 0.143 |
| Neutrophil (103/μL) | Decreases | -0.525 | Decreases | 0.031 |
- Citation: Polat YH, Kayaalp M. Clinical decision support for precolonoscopy cancer triage: A rule-out-oriented machine learning model for colorectal cancer risk. World J Gastrointest Oncol 2026; 18(9): 121970
- URL: https://www.wjgnet.com/1948-5204/full/v18/i9/121970.htm
- DOI: https://dx.doi.org/10.4251/wjgo.121970