Zeying Feng
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Using machine learning to predict adverse events in acute coronary syndrome: A retrospective study
1 INTRODUCTION Acute coronary syndrome (ACS) is a common type of cardiovascular disease and represents one of the leading causes of death worldwide.1 Over the past decades, with the advancement of percutaneous coronary intervention (PCI) and other therapeutic strategies, the outcomes have improved among patients.
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