Liver stiffness-platelet ratio index and machine learning models for the noninvasive diagnosis of significant fibrosis in chronic hepatitis B

doi:10.4254/wjh.v18.i5.119798

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World Journal of Hepatology

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1948-5182

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Hepatol. May 27, 2026; 18(5): 119798
Published online May 27, 2026. doi: 10.4254/wjh.v18.i5.119798

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Figure 2 Comparison of feature selection methods. A: SelectKBest; B: Recursive feature elimination; C: Least absolute shrinkage and selection operator regression. AFP: Alpha-fetoprotein; ALP: Alkaline phosphatase; GGT: Gamma-glutamyl transferase; HBV: Hepatitis B virus; HBeAb: Hepatitis B e antibody; HBeAg: Hepatitis B e antigen; HBsAb: Hepatitis B surface antibody; HBsAg: Hepatitis B surface antigen; INR: International normalized ratio; WBC: White blood cell.

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

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 [DOI: 10.4254/wjh.v18.i5.119798]

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