Application Progress of Machine Learning in the Diagnosis and Treatment of Myocardial Infarction
Abstract：Myocardial infarction is myocardial ischemic necrosis, mostly due to a sudden reduction or interruption of blood supply on the basis of coronary artery disease, leading to myocardial cell injury or death [1]. Patients with acute large-area myocardial infarction may develop malignant arrhythmia and cardiogenic shock, which can be life-threatening in severe cases [2]. Myocardial infarction not only poses a major threat to patients' health and quality of life, but also imposes a huge burden on society and the economy. With the aggravation of population aging in China, the number of patients with myocardial infarction continues to rise. According to the 'China Cardiovascular Health and Disease Report 2023', the number of patients with coronary atherosclerotic heart disease (coronary heart disease) is about 11.39 million, and the mortality rate of acute myocardial infarction (AMI) has shown an overall upward trend from 2002 to 2021 [3].
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Publication Date：2025-07-20
Online Publishing Date：2025-09-09(First online date of this platform, not the publication date of the document)
Pages：4( 887-890 )