Deep learning-derived 12-lead electrocardiogram-based genotype prediction for hypertrophic cardiomyopathy: a pilot study

Deep learning-derived 12-lead electrocardiogram-based genotype prediction for hypertrophic cardiomyopathy: a pilot study

AbstractObjective: Given the psychosocial and ethical burden, patients with hypertrophic cardiomyopathy (HCMs) could benefit from the establishment of genetic probability prior to the test. This study aimed to develop a simple tool to provide genotype prediction for HCMs.Methods: A convolutional neu...

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Bibliographic Details
Main Authors: LaiTe Chen, GuoSheng Fu, ChenYang Jiang
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Annals of Medicine
Subjects:
Genotype
hypertrophic cardiomyopathy
electrocardiography
genetic testing
deep learning
convolutional neural network
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2023.2235564

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https://www.tandfonline.com/doi/10.1080/07853890.2023.2235564

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