Application of Machine Learning to Predict Acute Kidney Disease in Patients With Sepsis Associated Acute Kidney Injury

Background: Sepsis-associated acute kidney injury (AKI) is frequent in patients admitted to intensive care units (ICU) and may contribute to adverse short-term and long-term outcomes. Acute kidney disease (AKD) reflects the adverse events developing after AKI. We aimed to develop and validate machin...

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Detalles Bibliográficos
Autores principales: He, Jiawei, Lin, Jin, Duan, Meili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703139/
https://www.ncbi.nlm.nih.gov/pubmed/34957162
http://dx.doi.org/10.3389/fmed.2021.792974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703139/
https://www.ncbi.nlm.nih.gov/pubmed/34957162
http://dx.doi.org/10.3389/fmed.2021.792974

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