A Deep-Learning Algorithm (ECG12Net) for Detecting Hypokalemia and Hyperkalemia by Electrocardiography: Algorithm Development

The detection of dyskalemias-hypokalemia and hyperkalemia-currently depends on laboratory tests. Since cardiac tissue is very sensitive to dyskalemia, electrocardiography (ECG) may be able to uncover clinically important dyskalemias before laboratory results. Our study aimed to develop a deep-learni...

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Vydané v:	JMIR medical informatics Ročník 8; číslo 3; s. e15931
Hlavní autori:	Lin, Chin-Sheng, Lin, Chin, Fang, Wen-Hui, Hsu, Chia-Jung, Chen, Sy-Jou, Huang, Kuo-Hua, Lin, Wei-Shiang, Tsai, Chien-Sung, Kuo, Chih-Chun, Chau, Tom, Yang, Stephen JH, Lin, Shih-Hua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Canada JMIR Publications 01.03.2020
Predmet:	Accuracy Algorithms Cardiology Competition Deep learning Electrocardiography Hyperkalemia Hypokalemia Laboratories Morphology Original Paper Patients Performance evaluation Physicians electrocardiogram sudden cardiac death machine learning potassium homeostasis artificial intelligence
ISSN:	2291-9694, 2291-9694
On-line prístup:	Získať plný text
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