Machine Learning-Driven Risk Clusters for Adverse Outcomes in Patients Hospitalized with Acute Heart Failure: Using a Retrospective Cohort Data.
AIM Heart failure (HF) poses a growing public health burden, yet conventional risk stratification models fail to capture the multidimensional complexity of acute HF by overlooking nutritional and lifestyle-related factors critical to prognosis. This study aimed to classify patients hospitalized with acute HF into clini...