Identification of four novel acute‐on‐chronic liver failure clusters with distinct clinical trajectories and mortality using machine learning methods

Machine learning (ML) can identify the hidden patterns without hypothesis in heterogeneous diseases like acute-on-chronic live failure (ACLF). We employed ML to describe and predict yet unknown clusters in ACLF.