Log in to save to my catalogue

The application of artificial intelligence methods to gene expression data for differentiation of un...

The application of artificial intelligence methods to gene expression data for differentiation of un...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_efa28aa02c9049c5bbf433b61e82a1f8

The application of artificial intelligence methods to gene expression data for differentiation of uncomplicated and complicated appendicitis in children and adolescents - a proof of concept study

About this item

Full title

The application of artificial intelligence methods to gene expression data for differentiation of uncomplicated and complicated appendicitis in children and adolescents - a proof of concept study

Publisher

London: BioMed Central Ltd

Journal title

BMC pediatrics, 2021-06, Vol.21 (1), p.1-268, Article 268

Language

English

Formats

Publication information

Publisher

London: BioMed Central Ltd

More information

Scope and Contents

Contents

Background Genome wide gene expression analysis has revealed hints for independent immunological pathways underlying the pathophysiologies of phlegmonous (PA) and gangrenous appendicitis (GA). Methods of artificial intelligence (AI) have successfully been applied to routine laboratory and sonographic parameters for differentiation of the inflammato...

Alternative Titles

Full title

The application of artificial intelligence methods to gene expression data for differentiation of uncomplicated and complicated appendicitis in children and adolescents - a proof of concept study

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_efa28aa02c9049c5bbf433b61e82a1f8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_efa28aa02c9049c5bbf433b61e82a1f8

Other Identifiers

ISSN

1471-2431

E-ISSN

1471-2431

DOI

10.1186/s12887-021-02735-8

How to access this item