Abstract
Machine learning (ML) might be useful to analysis various clinical information to make more accurate predictions. We sought to develop a ML model, utilizing clinical variables to predict the presence of stable obstructive coronary artery disease (CAD). We retrospectively analyzed 4906 patients who
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