Predicting renal function recovery and short-term reversibility among acute kidney injury patients in the ICU: comparison of machine learning methods and conventional regression

BACKGROUND: Acute kidney injury (AKI) is one of the most frequent complications of critical illness. We aimed to explore the predictors of renal function recovery and the short-term reversibility after AKI by comparing logistic regression with four machine learning models. METHODS: We reviewed patie...

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Detalles Bibliográficos
Autores principales: Zhao, Xiujuan, Lu, Yunwei, Li, Shu, Guo, Fuzheng, Xue, Haiyan, Jiang, Lilei, Wang, Zhenzhou, Zhang, Chong, Xie, Wenfei, Zhu, Fengxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Clinical Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359199/
https://www.ncbi.nlm.nih.gov/pubmed/35930309
http://dx.doi.org/10.1080/0886022X.2022.2107542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359199/
https://www.ncbi.nlm.nih.gov/pubmed/35930309
http://dx.doi.org/10.1080/0886022X.2022.2107542

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