Prediction of Acute Kidney Injury for Critically Ill Cardiogenic Shock Patients with Machine Learning Algorithms

Prediction of Acute Kidney Injury for Critically Ill Cardiogenic Shock Patients with Machine Learning Algorithms

Xiaofei Zhang,1,* Yonghong Xiong,2,* Huilan Liu,3 Qian Liu,4 Shubin Chen5 1Department of Gerontology, China Aerospace Science & Industry Corporation 731 hospital, Beijing, People’s Republic of China; 2Department of Cardiology, Beijing Feng Tai Hospital, Beijing, People’s Republic...

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Bibliographic Details
Main Authors: Zhang X, Xiong Y, Liu H, Liu Q, Chen S
Format: Article
Language:English
Published: Dove Medical Press 2025-01-01
Series:International Journal of General Medicine
Subjects:
cardiogenic shock
acute kidney injury
mimic database
prediction model
machine learning
Online Access:https://www.dovepress.com/prediction-of-acute-kidney-injury-for-critically-ill-cardiogenic-shock-peer-reviewed-fulltext-article-IJGM
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