Establishing AKI Warning System in Peking Union Medical College Hospital from a Machine Learning Approach: A Single-center Research Protocol

Establishing AKI Warning System in Peking Union Medical College Hospital from a Machine Learning Approach: A Single-center Research Protocol

Background and Objective  In-hospital acute kidney injury (AKI) has a significant negative impact on patients' outcome and the length of hospital stay. It is significantly important to use the early warning of electronic medical records (EMR) to identify and intervene AKI in a timely manner so...

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Bibliographic Details
Main Authors: ZHENG Hua, ZHANG Meng, ZHAO Ze, LIN Jianfeng, GUO Xiuzhi, XIA Peng, REN Fei, QIU Ling, ZHOU Jiong, CHEN Limeng
Format: Article
Language:zho
Published: Editorial Office of Medical Journal of Peking Union Medical College Hospital 2021-11-01
Series:Xiehe Yixue Zazhi
Subjects:
acute kidney injury
machine learning
multi-ward
prediction model
Online Access:https://xhyxzz.pumch.cn/en/article/doi/10.12290/xhyxzz.2021-0519

Internet

https://xhyxzz.pumch.cn/en/article/doi/10.12290/xhyxzz.2021-0519

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