Development of Clinical Decision Support System to Define 30 Day Adverse Clinical Events (Non Fatal Myocardial Infarction, Cardiac Related Death or Coronary Intervention) for Patients Presenting to Emergency Department With Acute Coronary Syndrome

Acute coronary syndromes are among main complains for patients presenting to emergency department and create a burden to emergency departments and hospitals. Risk classification systems were developed and used to classify patients to appropriate risk groups. According to risk classification, different diagnosis and treatment modalities can be used and help physicians manage diagnosis strategies and treatments. Purpose of this study is to develop a clinical decision support system for patients presenting to emergency department with the help of statistical machine learning.