Machine learning-based model to predict severe acute kidney injury after total aortic arch replacement for acute type A aortic dissection

Background: Severe acute kidney injury (AKI) after total aortic arch replacement (TAAR) is related to adverse outcomes in patients with acute type A aortic dissection (ATAAD). However, the early prediction of severe AKI remains a challenge. This study aimed to develop a novel model to predict severe...

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Detalhes bibliográficos

Principais autores:	Xiaolong Liu, Miaoxian Fang, Kai Wang, Junjiang Zhu, Zeling Chen, Linling He, Silin Liang, Yiyu Deng, Chunbo Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-07-01
coleção:	Heliyon
Assuntos:	Acute kidney injury Total aortic arch replacement Machine learning Artificial neural network Prediction
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2405844024102022
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