Deep Learning Using Electrocardiograms in Patients on Maintenance Dialysis-Reference-Cited by-同舟云学术

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Deep Learning Using Electrocardiograms in Patients on Maintenance Dialysis

Published:2023-01 Issue:1 Volume:30 Page:61-68
ISSN:2949-8139
Container-title:Advances in Kidney Disease and Health
language:en
Short-container-title:Advances in Kidney Disease and Health

Author:

Zheng Zhong,Soomro Qandeel H.,Charytan David M.

Publisher

Elsevier BV

Reference49 articles.

1. USRDS Annual Data Report: Epidemiology of kidney disease in the United States,2021

2. Primary outcomes of the monitoring in dialysis study indicate that clinically significant arrhythmias are common in hemodialysis patients and related to dialytic cycle;Roy-Chaudhury;Kidney Int,2018

3. Challenges of ECG monitoring and ECG interpretation in dialysis units;Poulikakos;J Electrocardiol,2016

4. Cardiac arrhythmias and electrolyte changes during haemodialysis;Rombolà;Nephrol Dial Transplant,1992

5. Relationship between dialytic parameters and reviewer confirmed arrhythmias in hemodialysis patients in the monitoring in dialysis study;Tumlin;BMC Nephrol,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced deep learning based decision support system for kidney tumour detection;BenchCouncil Transactions on Benchmarks, Standards and Evaluations;2024-06

2. Convolutional LSTM Network for Heart Disease Diagnosis on Electrocardiograms;Computers, Materials & Continua;2023

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