Prediction of acute kidney injury risk after cardiac surgery: using a hybrid machine learning algorithm

BACKGROUND: Acute kidney injury (AKI) is a serious complication after cardiac surgery. We derived and internally validated a Machine Learning preoperative model to predict cardiac surgery-associated AKI of any severity and compared its performance with parametric statistical models. METHODS: We cond...

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Detalles Bibliográficos
Autores principales: Petrosyan, Yelena, Mesana, Thierry G., Sun, Louise Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118758/
https://www.ncbi.nlm.nih.gov/pubmed/35585624
http://dx.doi.org/10.1186/s12911-022-01859-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118758/
https://www.ncbi.nlm.nih.gov/pubmed/35585624
http://dx.doi.org/10.1186/s12911-022-01859-w

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