CardioGPT: An ECG Interpretation Generation Model

CardioGPT: An ECG Interpretation Generation Model

Numerous supervised learning models aimed at classifying 12-lead electrocardiograms into different groups have shown impressive performance by utilizing deep learning algorithms. However, few studies are dedicated to applying the Generative Pre-trained Transformer (GPT) model in interpreting electro...

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Bibliographic Details
Main Authors: Guohua Fu, Jianwei Zheng, Islam Abudayyeh, Chizobam Ani, Cyril Rakovski, Louis Ehwerhemuepha, Hongxia Lu, Yongjuan Guo, Shenglin Liu, Huimin Chu, Bing Yang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Electrocardiogram
machine learning
generative model
arrhythmia
classification
generative pre-trained transformer
Online Access:https://ieeexplore.ieee.org/document/10488393/

Internet

https://ieeexplore.ieee.org/document/10488393/

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