Ke-Feng Lu

Development and external validation of an explainable machine learning model for in-hospital mortality risk stratification in intensive care unit patients with heart failure

Background Early risk stratification for in-hospital mortality remains challenging in intensive care unit (ICU) patients with heart failure (HF) because of substantial clinical heterogeneity and complex pathophysiological interactions. Explainable machine learning (ML) may offer a practical and transparent approach to...