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A deep learning model for predicting multidrug-resistant organism infection in critically ill patien...

A deep learning model for predicting multidrug-resistant organism infection in critically ill patien...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c8dbb9f9771d4966ac1a51a1aadcfffa

A deep learning model for predicting multidrug-resistant organism infection in critically ill patients

About this item

Full title

A deep learning model for predicting multidrug-resistant organism infection in critically ill patients

Publisher

London: BioMed Central Ltd

Journal title

Journal of intensive care, 2023-11, Vol.11 (1), p.1-49, Article 49

Language

English

Formats

Publication information

Publisher

London: BioMed Central Ltd

More information

Scope and Contents

Contents

Background This study aimed to apply the backpropagation neural network (BPNN) to develop a model for predicting multidrug-resistant organism (MDRO) infection in critically ill patients. Methods This study collected patient information admitted to the intensive care unit (ICU) of the Affiliated Hospital of Qingdao University from August 2021 to Jan...

Alternative Titles

Full title

A deep learning model for predicting multidrug-resistant organism infection in critically ill patients

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c8dbb9f9771d4966ac1a51a1aadcfffa

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c8dbb9f9771d4966ac1a51a1aadcfffa

Other Identifiers

ISSN

2052-0492

E-ISSN

2052-0492

DOI

10.1186/s40560-023-00695-y

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