Comparison of conventional scoring systems to machine learning models for the prediction of major adverse cardiovascular events in patients undergoing coronary computed tomography angiography

Comparison of conventional scoring systems to machine learning models for the prediction of major adverse cardiovascular events in patients undergoing coronary computed tomography angiography

BackgroundThe study aims to compare the prognostic performance of conventional scoring systems to a machine learning (ML) model on coronary computed tomography angiography (CCTA) to discriminate between the patients with and without major adverse cardiovascular events (MACEs) and to find the most im...

Full description

Bibliographic Details
Main Authors: Seyyed Mojtaba Ghorashi, Amir Fazeli, Behnam Hedayat, Hamid Mokhtari, Arash Jalali, Pooria Ahmadi, Hamid Chalian, Nicola Luigi Bragazzi, Shapour Shirani, Negar Omidi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
coronary computed tomography angiography
machine learning
coronary artery calcium scores
major adverse cardiovascular events
conventional scoring
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.994483/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.994483/full

Similar Items