Identification of risk factors for infection after mitral valve surgery through machine learning approaches

Identification of risk factors for infection after mitral valve surgery through machine learning approaches

BackgroundSelecting features related to postoperative infection following cardiac surgery was highly valuable for effective intervention. We used machine learning methods to identify critical perioperative infection-related variables after mitral valve surgery and construct a prediction model.Method...

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Bibliographic Details
Main Authors: Ningjie Zhang, Kexin Fan, Hongwen Ji, Xianjun Ma, Jingyi Wu, Yuanshuai Huang, Xinhua Wang, Rong Gui, Bingyu Chen, Hui Zhang, Zugui Zhang, Xiufeng Zhang, Zheng Gong, Yongjun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
machine learning
cardiac valvular surgery
infection
random forest
LASSO
artificial network
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1050698/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1050698/full

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