Machine Learning Prediction Model for Acute Renal Failure After Acute Aortic Syndrome Surgery

Machine Learning Prediction Model for Acute Renal Failure After Acute Aortic Syndrome Surgery

BackgroundAcute renal failure (ARF) is the most common major complication following cardiac surgery for acute aortic syndrome (AAS) and worsens the postoperative prognosis. Our aim was to establish a machine learning prediction model for ARF occurrence in AAS patients.MethodsWe included AAS patient...

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Bibliographic Details
Main Authors: Jinzhang Li, Ming Gong, Yashutosh Joshi, Lizhong Sun, Lianjun Huang, Ruixin Fan, Tianxiang Gu, Zonggang Zhang, Chengwei Zou, Guowei Zhang, Ximing Qian, Chenhui Qiao, Yu Chen, Wenjian Jiang, Hongjia Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Medicine
Subjects:
machine learning
acute renal failure
acute aortic syndrome
prediction model
eXtreme Gradient Boosting
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.728521/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.728521/full

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