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Comparison between machine learning methods for mortality prediction for sepsis patients with differ...

Comparison between machine learning methods for mortality prediction for sepsis patients with differ...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c220a0d53d1744acb6fb2d4490b79fac

Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants

About this item

Full title

Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2022-06, Vol.22 (S2), p.156-156, Article 156

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Sepsis is one of the most life-threatening circumstances for critically ill patients in the United States, while diagnosis of sepsis is challenging as a standardized criteria for sepsis identification is still under development. Disparities in social determinants of sepsis patients can interfere with the risk prediction performances using machine l...

Alternative Titles

Full title

Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c220a0d53d1744acb6fb2d4490b79fac

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c220a0d53d1744acb6fb2d4490b79fac

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-022-01871-0

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