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Prediction of significant congenital heart disease in infants and children using continuous wavelet transform and deep convolutional neural network with 12-lead electrocardiogram

Crossref DOI link: https://doi.org/10.1186/s12887-025-05628-2

Published Online: 2025-04-24

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lee, Yu-Shin

Chung, Hung-Tao

Lin, Jainn-Jim

Hwang, Mao-Sheng

Liu, Hao-Chuan

Hsu, Hsin-Mao

Chang, Ya-Ting

Peng, Syu-Jyun
Funding

Funding for this research was provided by:

National Science and Technology Council, Taiwan (NSTC 112-2628-E-038-001-MY3)
License Information

Text and Data Mining valid from 2025-04-24

Version of Record valid from 2025-04-24
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Article History

Received: 21 December 2024

Accepted: 24 March 2025

First Online: 24 April 2025

Declarations

:

: The study was approved by the Ethics Committee of Chang Gung Memorial Hospital (Ethics Approval No. 202102195B0). The requirement for informed consent was waived owing to the retrospective observational nature of the study. The decision not to require informed consent was upheld by the Ethics Committee of the Chang Gung Memorial Hospital. All methods were conducted in strict accordance with relevant guidelines and regulations.

: Not applicable.

: The authors declare no competing interests.

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