A model using artificial intelligence to predict 12-month mortality in myocardial infarction patients

Abstract

The leading causes of death and disability worldwide – affecting around 126 million people – are ischemic heart disease and acute myocardial infarction (AMI). Death results from AMI in about 30% of all cases. Depending on the source, 8% to 20% of AMI patients pass away within a year of the event, and every second patient requires rehospitalization. In order to manage and treat patients following an AMI, it is essential to evaluate the risk and forecast outcomes at the initial hospital admission. Innovative approaches, like artificial intelligence (AI) and deep learning (DL) methodologies, have the ability to give an accurate risk assessment and share decision-making in patients who experienced AMI because conventional risk rating scales and methods have several limitations.