Rational agents federation through neural networks assembly in the diagnosis of acute coronary syndromes

Ischemic heart disease is the leading cause of death in Colombia, they included acute coronary syndromes, of which acute myocardial infarction, is the primary concern of emergency physicians who manage patients with chest pain. Diagnosis is based on clinical data, electrocardiogram and biomarkers with a strategy of stratification. This process is far from standardized and many mistakes would happen, which is why it has been hard investigated the best way for modeling through various systems, including artificial intelligence. A federation of product analysis by agents AOPOA methodology that integrates systems using a neural network ensemble diagnosis of chest pain focused on acute coronary syndromes is presented.