Machine Learning–Based Risk Model for Predicting Early Mortality After Surgery for Infective Endocarditis

Machine Learning–Based Risk Model for Predicting Early Mortality After Surgery for Infective Endocarditis

Background The early mortality after surgery for infective endocarditis is high. Although risk models help identify patients at high risk, most current scoring systems are inaccurate or inconvenient. The objective of this study was to construct an accurate and easy‐to‐use prediction model to identif...

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Bibliographic Details
Main Authors: Li Luo, Sui‐qing Huang, Chuang Liu, Quan Liu, Shuohui Dong, Yuan Yue, Kai‐zheng Liu, Lin Huang, Shun‐jun Wang, Hua‐yang Li, Shaoyi Zheng, Zhong‐kai Wu
Format: Article
Language:English
Published: Wiley 2022-06-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
cardiac surgery
infective endocarditis
machine learning
prognosis
risk model
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.122.025433

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