Machine learning in predicting cardiac surgery-associated acute kidney injury: A systemic review and meta-analysis

BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a common complication following cardiac surgery. Early prediction of CSA-AKI is of great significance for improving patients' prognoses. The aim of this study is to systematically evaluate the predictive performance of mach...

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Detalles Bibliográficos
Autores principales: Song, Zhe, Yang, Zhenyu, Hou, Ming, Shi, Xuedong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520338/
https://www.ncbi.nlm.nih.gov/pubmed/36186995
http://dx.doi.org/10.3389/fcvm.2022.951881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520338/
https://www.ncbi.nlm.nih.gov/pubmed/36186995
http://dx.doi.org/10.3389/fcvm.2022.951881

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