Artificial intelligence algorithms permits rapid acute kidney injury risk classification of patients with acute myocardial infarction

Artificial intelligence algorithms permits rapid acute kidney injury risk classification of patients with acute myocardial infarction

Objective: This study aimed to develop and validate several artificial intelligence (AI) models to identify acute myocardial infarction (AMI) patients at an increased risk of acute kidney injury (AKI) during hospitalization. Methods: Included were patients diagnosed with AMI from the Medical Informa...

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Bibliographic Details
Main Authors: Jun Wei, Dabei Cai, Tingting Xiao, Qianwen Chen, Wenwu Zhu, Qingqing Gu, Yu Wang, Qingjie Wang, Xin Chen, Shenglin Ge, Ling Sun
Format: Article
Language:English
Published: Elsevier 2024-08-01
Series:Heliyon
Subjects:
Acute kidney injury
Acute myocardial infarction
Artificial intelligence
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024120828

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http://www.sciencedirect.com/science/article/pii/S2405844024120828

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