Cargando…
Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study
BACKGROUND: Likelihood of developing acute kidney injury (AKI) increases with age. We aimed to explore whether the predictability of AKI varies between age groups and assess the volatility of risk factors using electronic medical records (EMR). METHODS: We constructed a retrospective cohort of adult...
Autores principales: | Wu, Lijuan, Hu, Yong, Zhang, Xiangzhou, Chen, Weiqi, Yu, Alan S. L., Kellum, John A., Waitman, Lemuel R., Liu, Mei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397647/ https://www.ncbi.nlm.nih.gov/pubmed/32741377 http://dx.doi.org/10.1186/s12882-020-01980-w |
Ejemplares similares
-
Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury
por: Wu, Lijuan, et al.
Publicado: (2018) -
Multi-perspective predictive modeling for acute kidney injury in general hospital populations using electronic medical records
por: He, Jianqin, et al.
Publicado: (2018) -
Causal risk factor discovery for severe acute kidney injury using electronic health records
por: Chen, Weiqi, et al.
Publicado: (2018) -
Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction
por: Song, Xing, et al.
Publicado: (2020) -
Longitudinal Risk Prediction of Chronic Kidney Disease in Diabetic Patients Using a Temporal-Enhanced Gradient Boosting Machine: Retrospective Cohort Study
por: Song, Xing, et al.
Publicado: (2020)