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©The Author(s) 2025.
World J Gastroenterol. Apr 28, 2025; 31(16): 105985
Published online Apr 28, 2025. doi: 10.3748/wjg.v31.i16.105985
Published online Apr 28, 2025. doi: 10.3748/wjg.v31.i16.105985
Figure 7 Machine learning-based identification of key gut microbiota in hepatic fibrosis.
A and B: The greatest differences in relative abundance between the hepatic fibrosis (HF) and non-HF groups according to the eXtreme gradient boosting (XGBoost) machine learning algorithm of top 10 phyla (A) and genera (B); C and D: The greatest differences in relative abundance between the mild HF and significant HF groups according to the XGBoost algorithm of top 10 phyla (C) and genera (D); E-G: The top 20 significant signatures of gut microbiota at the genus level according to the random forest algorithm. SHAP: Shapley additive explanations; HF: Hepatic fibrosis; mHF: Mild hepatic fibrosis; sHF: Significant hepatic fibrosis.
- Citation: Zhu Y, Geng SY, Chen Y, Ru QJ, Zheng Y, Jiang N, Zhu FY, Zhang YS. Machine learning algorithms reveal gut microbiota signatures associated with chronic hepatitis B-related hepatic fibrosis. World J Gastroenterol 2025; 31(16): 105985
- URL: https://www.wjgnet.com/1007-9327/full/v31/i16/105985.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i16.105985