Late potential diagnosis by using self-learning expert system

The aim of our study was to build a self-learning expert system, called "EVAMAR", aimed at helping a doctor to recognize patients with sustained ventricular tachycardia (sVT) after myocardial infarction (MI) (group 1), patients without sVT after MI (group 2), and normal subjects (group 3). >