Predictive Factors of Length of Stay in Intensive Care Unit after Coronary Artery Bypass Graft Surgery based on Machine Learning Methods

Predictive Factors of Length of Stay in Intensive Care Unit after Coronary Artery Bypass Graft Surgery based on Machine Learning Methods

Introduction: Coronary artery bypass grafting (CABG) surgery requires an extended length of stay (LOS) in the intensive care unit (ICU). This study aimed to predict the factors affecting LOS in the ICU after CABG surgery using machine learning methods. Methods: In this study, after extracting fac...

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Bibliographic Details
Main Authors: Alireza Jafarkhani, Behzad Imani, Soheila Saeedi, Amir Shams
Format: Article
Language:English
Published: Shahid Beheshti University of Medical Sciences 2025-02-01
Series:Archives of Academic Emergency Medicine
Subjects:
Coronary Artery Bypass
Length of stay
Machine learning
Online Access:https://journals.sbmu.ac.ir/aaem/index.php/AAEM/article/view/2595
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