A Machine Learning Framework for Diagnosing and Predicting the Severity of Coronary Artery Disease

A Machine Learning Framework for Diagnosing and Predicting the Severity of Coronary Artery Disease

Background: Although machine learning (ML)-based prediction of coronary artery disease (CAD) has gained increasing attention, assessment of the severity of suspected CAD in symptomatic patients remains challenging. Methods: The training set for this study consisted of 284 retrospective participants,...

Full description

Bibliographic Details
Main Authors: Aikeliyaer Ainiwaer, Wen Qing Hou, Kaisaierjiang Kadier, Rena Rehemuding, Peng Fei Liu, Halimulati Maimaiti, Lian Qin, Xiang Ma, Jian Guo Dai
Format: Article
Language:English
Published: IMR Press 2023-06-01
Series:Reviews in Cardiovascular Medicine
Subjects:
machine learning
coronary artery disease
syntax score
gensini score
Online Access:https://www.imrpress.com/journal/RCM/24/6/10.31083/j.rcm2406168

Similar Items

Similar Items