Deep Learning Algorithm for Management of Diabetes Mellitus via Electrocardiogram-Based Glycated Hemoglobin (ECG-HbA1c): A Retrospective Cohort Study

Deep Learning Algorithm for Management of Diabetes Mellitus via Electrocardiogram-Based Glycated Hemoglobin (ECG-HbA1c): A Retrospective Cohort Study

Background: glycated hemoglobin (HbA1c) provides information on diabetes mellitus (DM) management. Electrocardiography (ECG) is a noninvasive test of cardiac activity that has been determined to be related to DM and its complications. This study developed a deep learning model (DLM) to estimate HbA1...

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Bibliographic Details
Main Authors: Chin-Sheng Lin, Yung-Tsai Lee, Wen-Hui Fang, Yu-Sheng Lou, Feng-Chih Kuo, Chia-Cheng Lee, Chin Lin
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Journal of Personalized Medicine
Subjects:
artificial intelligence
electrocardiogram
deep learning
glycated hemoglobin
diabetes mellitus
Online Access:https://www.mdpi.com/2075-4426/11/8/725

Internet

https://www.mdpi.com/2075-4426/11/8/725

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