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Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFea...

Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFea...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6698fe3a9fb141a0a8a876e9dcf749a4

Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker

About this item

Full title

Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-10, Vol.14 (1), p.25207-19, Article 25207

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

In response to the pressing requirement for precise and easily accessible COVID-19 detection methods, we present the Cough2COVID-19 framework, which is cost-effective, non-intrusive, and widely accessible. The conventional diagnostic methods, notably the PCR test, are encumbered by limitations such as cost and invasiveness. Consequently, the explor...

Alternative Titles

Full title

Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6698fe3a9fb141a0a8a876e9dcf749a4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6698fe3a9fb141a0a8a876e9dcf749a4

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-76639-9

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