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

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

Renal Failure（2023）

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摘要

Noninvasive and rapid prediction of hyperkalemia can be achieved by analyzing specific waveforms on the ECG by machine learning methods. But overall, XGB had a higher AUC in mild hyperkalemia, but SVM performed better in predicting more severe hyperkalemia.

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关键词

Electrocardiogram,noninvasive hyperkalemia prediction,end-stage renal disease,machine learning,logistic regression

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