Cargando…
Machine learning for the prediction of acute kidney injury in patients with acute pancreatitis admitted to the intensive care unit
Autores principales: | Cheng, Yisong, Yang, Jie, Wu, Qin, Cao, Lili, Wang, Bo, Jin, Xiaodong, Kang, Yan, Zhang, Zhongwei, He, Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945164/ https://www.ncbi.nlm.nih.gov/pubmed/36728600 http://dx.doi.org/10.1097/CM9.0000000000002531 |
Ejemplares similares
-
Acute kidney injury in severely injured patients admitted to the intensive care unit
por: García, Alberto F., et al.
Publicado: (2020) -
Outcomes of cancer patients admitted to intensive care units with severe acute kidney injury
por: Lobo, S, et al.
Publicado: (2010) -
Impact of the development of acute kidney injury on patients admitted to the pediatric intensive care unit()()
por: Ferreira, Marina Catuta de Rezende, et al.
Publicado: (2019) -
Acute Kidney Injury in Patients Admitted to the Intensive Care Unit: A Case Report
por: Mohamed, Ayman, et al.
Publicado: (2023) -
Risk, Predictors, and Outcomes of Acute Kidney Injury in Patients Admitted to Intensive Care Units in Egypt
por: Abd ElHafeez, Samar, et al.
Publicado: (2017)