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

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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Bibliographic Details
Main Authors: Chang Hu, Qing Tan, Qinran Zhang, Yiming Li, Fengyun Wang, Xiufen Zou, Zhiyong Peng
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Machine learning
Interpretability
Acute kidney injury
Critically illness
Mortality
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022002173

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http://www.sciencedirect.com/science/article/pii/S2001037022002173

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