Copyright: ©Author(s) 2026.
World J Hepatol. May 27, 2026; 18(5): 119798
Published online May 27, 2026. doi: 10.4254/wjh.v18.i5.119798
Published online May 27, 2026. doi: 10.4254/wjh.v18.i5.119798
Figure 5 Global feature importance assessed by SHapley Additive exPlanations.
A-C: Models without liver stiffness-platelet ratio index – random forest, gradient boosting, and histogram-based gradient boosting; D-F: Corresponding models with liver stiffness-platelet ratio index. AFP: Alpha-fetoprotein; ALB: Albumin; ALP: Alkaline phosphatase; ALT: Alanine aminotransferase; AST: Aspartate aminotransferase; DBIL: Direct bilirubin; GLB: Globulin; HBV: Hepatitis B virus; HBeAb: Hepatitis B e antibody; HBeAg: Hepatitis B e antigen; HBsAb: Hepatitis B surface antibody; HBsAg: Hepatitis B surface antigen; HGB: Hemoglobin; INR: International normalized ratio; LPRI: Liver stiffness-platelet ratio index; LSM: Liver stiffness measurement; NE: Neutrophil; PLT: Platelet; PT: Prothrombin time; TBIL: Total bilirubin; WBC: White blood cell; γGGT: Gamma-glutamyl transferase.
- Citation: Lin JY, Ai ZX, Luo MJ, Su LZ, Gao XG, Jiang HL, Lin JQ, Zhang HY, Sun YY, Yu HT, Zhang L, Gong XQ. Liver stiffness-platelet ratio index and machine learning models for the noninvasive diagnosis of significant fibrosis in chronic hepatitis B. World J Hepatol 2026; 18(5): 119798
- URL: https://www.wjgnet.com/1948-5182/full/v18/i5/119798.htm
- DOI: https://dx.doi.org/10.4254/wjh.v18.i5.119798