Predictive Biomarkers for Postmyocardial Infarction Heart Failure Using Machine Learning: A Secondary Analysis of a Cohort Study

Table 1

The value of AUC for five candidate biomarkers of post-MI HF at all three time points.

	Admission	Discharge	1-month follow-up
FCGR2A	0.8472	0.8333	0.7969
GSDMB	0.9028	0.8148	0.8125
MIR330	0.8750	0.7963	0.6406
MED1	0.7361	0.8333	0.7500
SQSTM1	0.8611	0.7963	0.8438

AUC: the area under the curve; MI: myocardial infarction; HF: heart failure.