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Machine learning applications on neonatal sepsis treatment: a scoping review

Machine learning applications on neonatal sepsis treatment: a scoping review

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b133825e766443baacc644c480e44c59

Machine learning applications on neonatal sepsis treatment: a scoping review

About this item

Full title

Machine learning applications on neonatal sepsis treatment: a scoping review

Publisher

England: BioMed Central Ltd

Journal title

BMC infectious diseases, 2023-06, Vol.23 (1), p.441-441, Article 441

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Neonatal sepsis is a major cause of health loss and mortality worldwide. Without proper treatment, neonatal sepsis can quickly develop into multisystem organ failure. However, the signs of neonatal sepsis are non-specific, and treatment is labour-intensive and expensive. Moreover, antimicrobial resistance is a significant threat globally, and it ha...

Alternative Titles

Full title

Machine learning applications on neonatal sepsis treatment: a scoping review

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b133825e766443baacc644c480e44c59

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b133825e766443baacc644c480e44c59

Other Identifiers

ISSN

1471-2334

E-ISSN

1471-2334

DOI

10.1186/s12879-023-08409-3

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