Machine learning approach to predict acute kidney injury after liver surgery

BACKGROUND: Acute kidney injury (AKI) after surgery appears to increase the risk of death in patients with liver cancer. In recent years, machine learning algorithms have been shown to offer higher discriminative efficiency than classical statistical analysis. AIM: To develop prediction models for A...

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Detalles Bibliográficos
Autores principales: Dong, Jun-Feng, Xue, Qiang, Chen, Ting, Zhao, Yuan-Yu, Fu, Hong, Guo, Wen-Yuan, Ji, Jun-Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2021
Materias:
Retrospective Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717516/
https://www.ncbi.nlm.nih.gov/pubmed/35071556
http://dx.doi.org/10.12998/wjcc.v9.i36.11255

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717516/
https://www.ncbi.nlm.nih.gov/pubmed/35071556
http://dx.doi.org/10.12998/wjcc.v9.i36.11255

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