Prediction of Mortality Using Machine Learning Algorithms in Post-CABG Patients with ECMO Support

Z. Kohistani, S. Kebir, M. Hamiko, Ö. Akhavuz, M. Schafhaus, S. Repschläger,Farhad Bakhtiary

Thoracic and Cardiovascular Surgeon（2023）

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摘要

Background: Patients with acute myocardial infarction (AMI) undergoing emergency coronary artery bypass grafting (CABG) with postoperatively extracorporal membrane oxygenation (ECMO) support are associated with higher mortality and morbidity. To identify factors leading to poor outcome in these patients is of significant importance. In this study we predicted the mortality of these patients through machine learning algorithms considering the significant risk factors.

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mortality,machine learning algorithms,machine learning,prediction,ecmo support,post-cabg

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