Author(s)

Zhiyi Chen ¹

Affiliation(s)

¹ School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 510515

Corresponding Author

Zhiyi Chen

ABSTRACT

Acute Coronary Syndrome (ACS) is a group of clinical syndrome with coronary atherosclerotic plaque rupture or invasion, secondary or incomplete occasional thrombosis is the pathological basis, including acute ST segment elevated myocardial infarction , Acute non-ST segment raised myocardial infarction and unstable angina  are a major disease that threatens human health. The early discovery of ACS, early treatment is of great significance. With the development of my country's CT technology, coronary computed tomography angiography has become a clinically used coronary non-invasive detection method, which provides a wealth of diagnostic information, how to use this information forecast ACS, and become another research hotspot. This paper is intended to summarize the method and predictive accuracy of the current use of coronary computed tomography angiography to predict acute coronary syndrome, and combine data discussion in the feasibility of clinical practical use.

KEYWORDS

Coronary computed tomography angiography, machine learning, acute coronary syndrome, prediction

CITE THIS PAPER

Zhiyi Chen, Prediction of coronary computed tomography angiography on acute coronary syndrome. MEDS Chinese Medicine (2021) 3: 54-57. DOI: http://dx.doi.org/10.23977/medcm.2021.030211

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