Predicting Intensive Care Unit Length of Stay After Acute Type A Aortic Dissection Surgery Using Machine Learning

Predicting Intensive Care Unit Length of Stay After Acute Type A Aortic Dissection Surgery Using Machine Learning

Background: Patients with acute type A aortic dissection are usually transferred to the intensive care unit (ICU) after surgery. Prolonged ICU length of stay (ICU-LOS) is associated with higher level of care and higher mortality. We aimed to develop and validate machine learning models for predictin...

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Bibliographic Details
Main Authors: Qiuying Chen, Bin Zhang, Jue Yang, Xiaokai Mo, Lu Zhang, Minmin Li, Zhuozhi Chen, Jin Fang, Fei Wang, Wenhui Huang, Ruixin Fan, Shuixing Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
acute type A aortic dissection
surgery
intensive care unit
length of stay
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.675431/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2021.675431/full

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