Predicting Factors Affecting Postoperative Length of Stay in Patients Undergoing Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review

ABSTRACT Background and Aim Nowadays, coronary artery bypass graft (CABG) surgery has become a common method for treating coronary artery diseases. This surgery requires a long post‐operative length of stay (PLOS) in the hospital. The purpose of this study was to systematically review the factors af...

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Hlavní autoři:	Alireza Jafarkhani, Behzad Imani, Soheila Saeedi, Amir Shams
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2026-04-01
Edice:	Health Science Reports
Témata:	coronary artery bypass length of stay machine learning systematic review
On-line přístup:	https://doi.org/10.1002/hsr2.72391
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