Using a machine learning model to predict the development of acute kidney injury in patients with heart failure

Using a machine learning model to predict the development of acute kidney injury in patients with heart failure

BackgroundHeart failure (HF) is a life-threatening complication of cardiovascular disease. HF patients are more likely to progress to acute kidney injury (AKI) with a poor prognosis. However, it is difficult for doctors to distinguish which patients will develop AKI accurately. This study aimed to c...

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Bibliographic Details
Main Authors: Wen Tao Liu, Xiao Qi Liu, Ting Ting Jiang, Meng Ying Wang, Yang Huang, Yu Lin Huang, Feng Yong Jin, Qing Zhao, Qin Yi Wu, Bi Cheng Liu, Xiong Zhong Ruan, Kun Ling Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
heart failure
acute kidney injury
machine learning
prediction model
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.911987/full

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