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. This evidence concerns the gene GGT5 and hydrops fetalis.