Identification of common mechanisms and biomarkers of atrial fibrillation and heart failure based on machine learning.

We identified four biological markers that are highly correlated with AF and HF, namely, GLUL, NCF2, S100A12, and SRGN. Our findings provide theoretical basis for the clinical diagnosis and treatment of AF and HF.