Using a machine learning model to predict the development of acute kidney injury in patients with heart failure

BACKGROUND: Heart failure (HF) is a life-threatening complication of cardiovascular disease. HF patients are more likely to progress to acute kidney injury (AKI) with a poor prognosis. However, it is difficult for doctors to distinguish which patients will develop AKI accurately. This study aimed to...

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Detalles Bibliográficos
Autores principales: Liu, Wen Tao, Liu, Xiao Qi, Jiang, Ting Ting, Wang, Meng Ying, Huang, Yang, Huang, Yu Lin, Jin, Feng Yong, Zhao, Qing, Wu, Qin Yi, Liu, Bi Cheng, Ruan, Xiong Zhong, Ma, Kun Ling
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/PMC9512707/
https://www.ncbi.nlm.nih.gov/pubmed/36176988
http://dx.doi.org/10.3389/fcvm.2022.911987

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512707/
https://www.ncbi.nlm.nih.gov/pubmed/36176988
http://dx.doi.org/10.3389/fcvm.2022.911987

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