Machine learning for early discrimination between transient and persistent acute kidney injury in critically ill patients with sepsis

Acute kidney injury (AKI) is commonly present in critically ill patients with sepsis. Early prediction of short-term reversibility of AKI is beneficial to risk stratification and clinical treatment decision. The study sought to use machine learning methods to discriminate between transient and persi...

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Detalles Bibliográficos
Autores principales: Luo, Xiao-Qin, Yan, Ping, Zhang, Ning-Ya, Luo, Bei, Wang, Mei, Deng, Ying-Hao, Wu, Ting, Wu, Xi, Liu, Qian, Wang, Hong-Shen, Wang, Lin, Kang, Yi-Xin, Duan, Shao-Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511088/
https://www.ncbi.nlm.nih.gov/pubmed/34642418
http://dx.doi.org/10.1038/s41598-021-99840-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511088/
https://www.ncbi.nlm.nih.gov/pubmed/34642418
http://dx.doi.org/10.1038/s41598-021-99840-6

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