A 2025 case-control study conducted by researchers at Guangxi Medical University presents a machine learning model, particularly using a Random Forest, to predict liver cancer risk in chronic hepatitis B. Key markers such as AST/ALT, BLR, and AFP stand out. Consider monitoring these parameters to facilitate timely clinical interventions.

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Development and validation of an interpretable machine learning model for predicting the risk of hepatocellular carcinoma in patients with chronic hepatitis B: a case-control study