Development and validation of a machine learning-based diagnostic model for obstructive coronary artery disease in hypertensive patients using composite inflammatory and lipid markers
Background Hypertensive patients face high risk of obstructive coronary artery disease (CAD), but early diagnosis is limited by costly or invasive gold-standard imaging. Composite inflammatory and lipid markers from routine blood tests may offer a low-cost alternative. We aimed to develop and validate a machine learnin...