Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram

Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram

BackgroundThe risk of mortality is relatively high among patients who visit the emergency department (ED), and stratifying patients at high risk can help improve medical care. This study aimed to create a machine-learning model that utilizes the standard 12-lead ECG to forecast acute mortality risk...

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Bibliographic Details
Main Authors: Po-Cheng Chang, Zhi-Yong Liu, Yu-Chang Huang, Yu-Chun Hsu, Jung-Sheng Chen, Ching-Heng Lin, Richard Tsai, Chung-Chuan Chou, Ming-Shien Wen, Hung-Ta Wo, Wen-Chen Lee, Hao-Tien Liu, Chun-Chieh Wang, Chang-Fu Kuo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
mortality
emergency department
convolutional neural network
machine learning
electrocardiogram
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1245614/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1245614/full

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