Artificial Intelligence-Enabled Electrocardiography Detects Hypoalbuminemia and Identifies the Mechanism of Hepatorenal and Cardiovascular Events

Artificial Intelligence-Enabled Electrocardiography Detects Hypoalbuminemia and Identifies the Mechanism of Hepatorenal and Cardiovascular Events

BackgroundAlbumin, an important component of fluid balance, is associated with kidney, liver, nutritional, and cardiovascular diseases (CVD) and is measured by blood tests. Since fluid balance is associated with electrocardiography (ECG) changes, we established a deep learning model (DLM) to estimat...

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Bibliografische gegevens
Hoofdauteurs: Yung-Tsai Lee, Chin-Sheng Lin, Wen-Hui Fang, Chia-Cheng Lee, Ching-Liang Ho, Chih-Hung Wang, Dung-Jang Tsai, Chin Lin
Formaat: Artikel
Taal:English
Gepubliceerd in: Frontiers Media S.A. 2022-06-01
Reeks:Frontiers in Cardiovascular Medicine
Onderwerpen:
artificial intelligence
electrocardiogram
deep learning
hypoalbuminemia
previvor
liver failure events
Online toegang:https://www.frontiersin.org/articles/10.3389/fcvm.2022.895201/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.895201/full

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