Accordingly, in order to determine an effective way to screen for SBHF and guide clinicians on those who required further echocardiogram, we used machine learning algorithms to develop a DM-specific screening model based on ewECG data to identify SBHF among asymptomatic patients and compare its performance with conventional clinical HF risk indicators in NT-proBNP and the ARIC HF risk score. The gene discussed is NPPB; the disease is hydrops fetalis.