Conclusions
AKI, APSIII
In this study, we proposed an individualized predictive model based on ML for 28-day mortality in HE patients upon ICU admission. We demonstrated that APSIII, SOFA, mechanical ventilation, INR, TBIL, albumin and AKI are crucial for predicting 28-day mortality. The model in our study had superior performance to MELD score or MELD-Na score predicting 28-day mortality. In the future, real-time prediction of mortality risk among HE patients might be realized, which, in turn, will optimize treatment to improve clinical prognosis.