Predicting acute kidney injury risk in acute myocardial infarction patients: An artificial intelligence model using medical information mart for intensive care databases

Predicting acute kidney injury risk in acute myocardial infarction patients: An artificial intelligence model using medical information mart for intensive care databases

BackgroundPredictive models based on machine learning have been widely used in clinical practice. Patients with acute myocardial infarction (AMI) are prone to the risk of acute kidney injury (AKI), which results in a poor prognosis for the patient. The aim of this study was to develop a machine lear...

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Bibliographic Details
Main Authors: Dabei Cai, Tingting Xiao, Ailin Zou, Lipeng Mao, Boyu Chi, Yu Wang, Qingjie Wang, Yuan Ji, Ling Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
acute myocardia infarction
acute kidney injury
machine learning
random forest
area under the receiver operating characteristic curve
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.964894/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.964894/full

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