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...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-06-01
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Series: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
Subjects: | |
Online Access: | https://www.ahajournals.org/doi/10.1161/JAHA.122.025433 |