Revolutionizing Wilson disease prognosis: a machine learning approach to predict acute-on-chronic liver failure

The ML-based model effectively predicts WD-ACLF risk, with XGBoost demonstrating superior performance. TBA, APTT, diagnosis age, onset age and Hb emerged as critical biomarkers, offering actionable insights for early clinical intervention.