Analysis of a machine learning–based risk stratification scheme for acute kidney injury in vancomycin

Analysis of a machine learning–based risk stratification scheme for acute kidney injury in vancomycin

Vancomycin-associated acute kidney injury (AKI) continues to pose a major challenge to both patients and healthcare providers. The purpose of this study is to construct a machine learning framework for stratified predicting and interpreting vancomycin-associated AKI. Our study is a retrospective ana...

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Bibliographic Details
Main Authors: Fei Mu, Chen Cui, Meng Tang, Guiping Guo, Haiyue Zhang, Jie Ge, Yujia Bai, Jinyi Zhao, Shanshan Cao, Jingwen Wang, Yue Guan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Pharmacology
Subjects:
vancomycin
acute kidney injury
machine learning
stratification analysis
risk stratification
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2022.1027230/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2022.1027230/full

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