Outcome prediction for acute kidney injury among hospitalized children via eXtreme Gradient Boosting algorithm

Acute kidney injury (AKI) is common among hospitalized children and is associated with a poor prognosis. The study sought to develop machine learning-based models for predicting adverse outcomes among hospitalized AKI children. We performed a retrospective study of hospitalized AKI patients aged 1 m...

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Detalles Bibliográficos
Autores principales: Deng, Ying-Hao, Luo, Xiao-Qin, Yan, Ping, Zhang, Ning-Ya, Liu, Yu, Duan, Shao-Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142505/
https://www.ncbi.nlm.nih.gov/pubmed/35624143
http://dx.doi.org/10.1038/s41598-022-13152-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142505/
https://www.ncbi.nlm.nih.gov/pubmed/35624143
http://dx.doi.org/10.1038/s41598-022-13152-x

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