Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.
Journal:
Cardiovascular research
Published Date:
Dec 1, 2020
Abstract
AIMS: Our aim was to evaluate the performance of machine learning (ML), integrating clinical parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue (EAT) quantification, for the prediction of long-term risk of myocardial infarction (MI) and cardiac death in asymptomatic subjects.
Authors
Keywords
Adipose Tissue
Aged
Cause of Death
Computed Tomography Angiography
Coronary Angiography
Coronary Artery Disease
Decision Support Techniques
Female
Humans
Machine Learning
Male
Middle Aged
Multidetector Computed Tomography
Myocardial Infarction
Pericardium
Predictive Value of Tests
Prognosis
Prospective Studies
Radiographic Image Interpretation, Computer-Assisted
Risk Assessment
Risk Factors
Sex Factors
Time Factors
Vascular Calcification