Machine Learning to Predict Contrast-Induced Acute Kidney Injury in Patients With Acute Myocardial Infarction

Machine Learning to Predict Contrast-Induced Acute Kidney Injury in Patients With Acute Myocardial Infarction

Objective: To develop predictive models for contrast induced acute kidney injury (CI-AKI) among acute myocardial infarction (AMI) patients treated invasively.Methods: Patients with AMI who underwent angiography therapy were enrolled and randomly divided into training cohort (75%) and validation coho...

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Bibliographic Details
Main Authors: Ling Sun, Wenwu Zhu, Xin Chen, Jianguang Jiang, Yuan Ji, Nan Liu, Yajing Xu, Yi Zhuang, Zhiqin Sun, Qingjie Wang, Fengxiang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Medicine
Subjects:
machine learning
Random Forest algorithm
logistic regression
predictive models
contrast induced acute kidney injury
acute myocardial infarction
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2020.592007/full

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https://www.frontiersin.org/articles/10.3389/fmed.2020.592007/full

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