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 identi...

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Detalles Bibliográficos
Autores principales: Luo, Li, Huang, Sui‐qing, Liu, Chuang, Liu, Quan, Dong, Shuohui, Yue, Yuan, Liu, Kai‐zheng, Huang, Lin, Wang, Shun‐jun, Li, Hua‐yang, Zheng, Shaoyi, Wu, Zhong‐kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238722/
https://www.ncbi.nlm.nih.gov/pubmed/35656984
http://dx.doi.org/10.1161/JAHA.122.025433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238722/
https://www.ncbi.nlm.nih.gov/pubmed/35656984
http://dx.doi.org/10.1161/JAHA.122.025433

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