Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study.

Purpose: Coronary artery disease (CAD) is one of the most significant cardiovascular diseases that requires accurate angiography to diagnose. Angiography is an invasive approach involving risks like death, heart attack, and stroke. An appropriate alternative for diagnosis of the disease is to use statistical or data mining methods.