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

被引：0
|
作者：
Yu-Shin Lee [1 ]
Hung-Tao Chung [2 ]
Jainn-Jim Lin [1 ]
Mao-Sheng Hwang [3 ]
Hao-Chuan Liu [1 ]
Hsin-Mao Hsu [1 ]
Ya-Ting Chang [1 ]
Syu-Jyun Peng [1 ]
机构：
[1] Division of Cardiology,In
[2] Department of Pediatrics,Service Master Program in Artificial Intelligence in Medicine, College of Medicine
[3] Chang Gung Memoral Hospital Linkou Branch,Division of Pediatric Intensive Care, Department of Pediatrics
[4] Taipei Medical University,Clinical Big Data Research Center
[5] Chang Gung Memorial Hospital,undefined
[6] Linkou Branch,undefined
[7] Taipei Medical University Hospital,undefined
[8] Taipei Medical University,undefined
来源：
BMC Pediatrics | / 25卷 / 1期
关键词：
Congenital heart disease; Electrocardiogram; Artificial intelligence; Continuous wavelet transformation; Cardiac screening;
D O I：
10.1186/s12887-025-05628-2
中图分类号：
学科分类号：
摘要：
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