Prediction of hyperkalemia in ESRD patients by identification of multiple leads and multiple features on ECG

Prediction of hyperkalemia in ESRD patients by identification of multiple leads and multiple features on ECG

Background Patients with end-stage renal disease (ESRD) especially those undergoing dialysis have a high prevalence of hyperkalemia, which must be detected and treated immediately. But the initial symptoms of hyperkalemia are insidious, and traditional laboratory serum potassium concentration testin...

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Bibliographic Details
Main Authors: Daojun Xu, Bin Zhou, Jiaqi Zhang, Chenyu Li, Chen Guan, Yuxuan Liu, Lin Li, Haina Li, Li Cui, Lingyu Xu, Hang Liu, Li Zhen, Yan Xu
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Renal Failure
Subjects:
Electrocardiogram
noninvasive hyperkalemia prediction
end-stage renal disease
machine learning
logistic regression
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2023.2212800
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