Application of interpretable machine learning for early prediction of prognosis in acute kidney injury

BACKGROUND: This study aimed to develop an algorithm using the explainable artificial intelligence (XAI) approaches for the early prediction of mortality in intensive care unit (ICU) patients with acute kidney injury (AKI). METHODS: This study gathered clinical data with AKI patients from the Medica...

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Detalles Bibliográficos
Autores principales: Hu, Chang, Tan, Qing, Zhang, Qinran, Li, Yiming, Wang, Fengyun, Zou, Xiufen, Peng, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193404/
https://www.ncbi.nlm.nih.gov/pubmed/35765651
http://dx.doi.org/10.1016/j.csbj.2022.06.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193404/
https://www.ncbi.nlm.nih.gov/pubmed/35765651
http://dx.doi.org/10.1016/j.csbj.2022.06.003

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