Abstract: Coronary heart disease has put heavy burden on human health. How to make rational use of a wide range of information and data to make the diagnosis and treatment of coronary heart disease more accurate is a major challenge for clinicians. Through continuous learning and training, machine learning can help clinicians analyze and interpret large amounts of multidisciplinary data information and machine learning can also discover potential association rules between data. Machine learning has broad application prospects in the diagnosis and treatment of coronary heart disease.