Abstract:Background: We aimed to develop and validate a model to predict mortality in patients with stable angina across the spectrum of dysglycemia.Methods: A total of 1479 patients admitted for coronary angiography due to angina were enrolled. All-cause mortality was followed up and served as the primary endpoint. We compared the performance of different machine learning models for survival analysis and used least absolute shrinkage and selection operator (LASSO) to select important features. Performance was evaluate… Show more
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