Based on conventional follow-up non-invasive test results and machine learning algorithms, an early warning modeling of Percutaneous Coronary Intervention (PCI) postoperative recurrence is proposed. The model construction method, experimental evaluation and analytical method are expounded in detail, and the results are analyzed.