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Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated wit...

Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated wit...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4c34fb493748466c9c5fca70e5485f5c

Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts

About this item

Full title

Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2024-02, Vol.15 (1), p.976-976, Article 976

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Early detection is critical to achieving improved treatment outcomes for child patients with congenital heart diseases (CHDs). Therefore, developing effective CHD detection techniques using low-cost and non-invasive pediatric electrocardiogram are highly desirable. We propose a deep learning approach for CHD detection, CHDdECG, which automatically...

Alternative Titles

Full title

Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4c34fb493748466c9c5fca70e5485f5c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4c34fb493748466c9c5fca70e5485f5c

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-024-44930-y

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