Construction of genetic classification model for coronary atherosclerosis heart disease using three machine learning methods.
Journal:
BMC cardiovascular disorders
Published Date:
Feb 12, 2022
Abstract
BACKGROUND: Although the diagnostic method for coronary atherosclerosis heart disease (CAD) is constantly innovated, CAD in the early stage is still missed diagnosis for the absence of any symptoms. The gene expression levels varied during disease development; therefore, a classifier based on gene expression might contribute to CAD diagnosis. This study aimed to construct genetic classification models for CAD using gene expression data, which may provide new insight into the understanding of its pathogenesis.