Throughout this investigation, we employed three distinct machine learning techniques, enabling us to identify AARGs, including GGT5, PLA2G2A, EPHX2, and CYP2J2 as potential prognosis biomarkers for HF. Here, EPHX2 is linked to hydrops fetalis.