Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study

doi:10.3748/wjg.v31.i9.101383

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World Journal of Gastroenterology

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1007-9327

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

Retrospective Cohort Study

World J Gastroenterol. Mar 7, 2025; 31(9): 101383
Published online Mar 7, 2025. doi: 10.3748/wjg.v31.i9.101383

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Figure 1 Outline of the recruitment and grouping of non-alcoholic steatohepatitis patitents. HBV: Hepatitis B virus; HCV: Hepatitis C virus; HIV: Human immunodeficiency virus; HCC: Hepatocellular carcinoma; XGBoost: The Extreme Gradient Boosting; LR: Logistic regression; RF: Random forest; SVM: Support Vector Machine; NB: Naive Bayes.

Citation: Xiong FX, Sun L, Zhang XJ, Chen JL, Zhou Y, Ji XM, Meng PP, Wu T, Wang XB, Hou YX. Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study. World J Gastroenterol 2025; 31(9): 101383
URL: https://www.wjgnet.com/1007-9327/full/v31/i9/101383.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i9.101383