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Predicting bloodstream infection outcome using machine learning

Predicting bloodstream infection outcome using machine learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ba918ab1dbbb43c69cd4b11b5be23246

Predicting bloodstream infection outcome using machine learning

About this item

Full title

Predicting bloodstream infection outcome using machine learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2021-10, Vol.11 (1), p.20101-20101, Article 20101

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Bloodstream infections (BSI) are a main cause of infectious disease morbidity and mortality worldwide. Early prediction of BSI patients at high risk of poor outcomes is important for earlier decision making and effective patient stratification. We developed electronic medical record-based machine learning models that predict patient outcomes of BSI...

Alternative Titles

Full title

Predicting bloodstream infection outcome using machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ba918ab1dbbb43c69cd4b11b5be23246

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ba918ab1dbbb43c69cd4b11b5be23246

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-021-99105-2

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