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Construction and analysis of a conjunctive diagnostic model of HNSCC with random forest and artifici...

Construction and analysis of a conjunctive diagnostic model of HNSCC with random forest and artifici...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ca380a1a34114dfdaa3fbdcaf8dc9fca

Construction and analysis of a conjunctive diagnostic model of HNSCC with random forest and artificial neural network

About this item

Full title

Construction and analysis of a conjunctive diagnostic model of HNSCC with random forest and artificial neural network

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-04, Vol.13 (1), p.6736-6736, Article 6736

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous tumor that is highly aggressive and ranks fifth among the most common cancers worldwide. Although, the researches that attempted to construct a diagnostic model were deficient in HNSCC. Currently, the gold standard for diagnosing head and neck tumors is pathology, but this requires a...

Alternative Titles

Full title

Construction and analysis of a conjunctive diagnostic model of HNSCC with random forest and artificial neural network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ca380a1a34114dfdaa3fbdcaf8dc9fca

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ca380a1a34114dfdaa3fbdcaf8dc9fca

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-32620-6

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