Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach

BACKGROUND: Acute kidney injury (AKI) is a common complication in critically ill patients with sepsis and is often associated with a poor prognosis. We aimed to construct and validate an interpretable prognostic prediction model for patients with sepsis-associated AKI (S-AKI) using machine learning...

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Detalles Bibliográficos
Autores principales: Fan, Zhiyan, Jiang, Jiamei, Xiao, Chen, Chen, Youlei, Xia, Quan, Wang, Juan, Fang, Mengjuan, Wu, Zesheng, Chen, Fanghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10286378/
https://www.ncbi.nlm.nih.gov/pubmed/37349774
http://dx.doi.org/10.1186/s12967-023-04205-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10286378/
https://www.ncbi.nlm.nih.gov/pubmed/37349774
http://dx.doi.org/10.1186/s12967-023-04205-4

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