A novel machine learning algorithm, Bayesian networks model, to predict the high‐risk patients with cardiac surgery‐associated acute kidney injury

BACKGROUND: Cardiac surgery‐associated acute kidney injury (CSA‐AKI) is a well‐recognized complication with an ominous outcome. HYPOTHESIS: Bayesian networks (BNs) not only can reveal the complex interrelationships between predictors and CSA‐AKI, but predict the individual risk of CSA‐AKI occurrence...

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Detalles Bibliográficos
Autores principales: Li, Yang, Xu, Jiarui, Wang, Yimei, Zhang, Yunlu, Jiang, Wuhua, Shen, Bo, Ding, Xiaoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2020
Materias:
Clinical Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368305/
https://www.ncbi.nlm.nih.gov/pubmed/32400109
http://dx.doi.org/10.1002/clc.23377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368305/
https://www.ncbi.nlm.nih.gov/pubmed/32400109
http://dx.doi.org/10.1002/clc.23377

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