Predicting Factors Affecting Survival Rate in Patients Undergoing On‐Pump Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review

Predicting Factors Affecting Survival Rate in Patients Undergoing On‐Pump Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review

ABSTRACT Background and Aim Coronary artery bypass grafting (CABG) is a key treatment for coronary artery disease, but accurately predicting patient survival after the procedure presents significant challenges. This study aimed to systematically review articles using machine learning techniques to p...

Full description

Saved in:
Bibliographic Details
Main Authors: Alireza Jafarkhani, Behzad Imani, Soheila Saeedi, Amir Shams
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Health Science Reports
Subjects:
coronary artery bypass
machine learning
survival rate
systematic review
Online Access:https://doi.org/10.1002/hsr2.70336
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/hsr2.70336

Similar Items