Background: Acute myocardial infarction is one of the most causes of death all over the world that is known by decreased of blood supply to the myocardium due to obstruction in the arteries. Most recent studies aimed to early prediction of Acute myocardial infarction (AMI) to avoid its hazard. Objectives: we aimed to evaluate the predictive effect of non-coding RNAs expression especially the micro in AMI. Methodology: Using in silico data analysis to retrieve microRNAs related to AMI that result in selection of miRNA-197 and miRNA-221. We measured the expression of the serum non-coding RNAs in 25 healthy volunteers, 20 patients with chest pain due to non- cardiac causes and 65 patients with using quantitative real-time PCR. Results: the study data analysis showed significant down regulation in the expression of serum levels of miRNA-221 in the patients with AMI compared with healthy volunteers. Also, there is upregulation in expression of serum miRNA-197 in the AMI groups in comparison with the healthy control group. Performance characteristics analysis showed that the studied micro non-coding RNAs were potential biomarkers for prediction of AMI.