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Interpretable machine learning models for early prediction of acute kidney injury after cardiac surgery

OBJECTIVE: Postoperative acute kidney injury (PO-AKI) is a common complication after cardiac surgery. We aimed to evaluate whether machine learning algorithms could significantly improve the risk prediction of PO-AKI. METHODS: The retrospective cohort study included 2310 adult patients undergoing ca...

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Detalles Bibliográficos
Autores principales:	Jiang, Jicheng, Liu, Xinyun, Cheng, Zhaoyun, Liu, Qianjin, Xing, Wenlu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631004/ https://www.ncbi.nlm.nih.gov/pubmed/37936067 http://dx.doi.org/10.1186/s12882-023-03324-w

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