Early Risk Assessment Model for ICA Timing Strategy in Unstable Angina
Patients Using Multi-Modal Machine Learning
Early Risk Assessment Model for ICA Timing Strategy in Unstable Angina
Patients Using Multi-Modal Machine Learning
Background: Invasive coronary arteriography (ICA) is recognized as the gold standard for diagnosing cardiovascular diseases, including unstable angina (UA). The challenge lies in determining the optimal timing for ICA in UA patients, balancing the need for revascularization in high-risk patients against the potential complications in low-risk ones. Unlike myocardial infarction, …