Machine learning model for predicting acute kidney injury progression in critically ill patients

BACKGROUND: Acute kidney injury (AKI) is a serve and harmful syndrome in the intensive care unit. Comparing to the patients with AKI stage 1/2, the patients with AKI stage 3 have higher in-hospital mortality and risk of progression to chronic kidney disease. The purpose of this study is to develop a...

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Detalles Bibliográficos
Autores principales: Wei, Canzheng, Zhang, Lifan, Feng, Yunxia, Ma, Aijia, Kang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772216/
https://www.ncbi.nlm.nih.gov/pubmed/35045840
http://dx.doi.org/10.1186/s12911-021-01740-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772216/
https://www.ncbi.nlm.nih.gov/pubmed/35045840
http://dx.doi.org/10.1186/s12911-021-01740-2

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