A machine learning-based predictive model for the in-hospital mortality of critically ill patients with atrial fibrillation

An AdaBoost-based predictive model was subjected to internal and external validation, highlighting its strong predictive capacity for assessing the risk of in-hospital mortality in ICU patients with AF.