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Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal...

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_70ecc46b9e1640a0ba5d4390d8202c6e

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit

About this item

Full title

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2021-04, Vol.11 (1), p.8827-8827, Article 8827

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Acute gastrointestinal bleeding is the most common gastrointestinal cause for hospitalization. For high-risk patients requiring intensive care unit stay, predicting transfusion needs during the first 24 h using dynamic risk assessment may improve resuscitation with red blood cell transfusion in admitted patients with severe acute gastrointestinal b...

Alternative Titles

Full title

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_70ecc46b9e1640a0ba5d4390d8202c6e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_70ecc46b9e1640a0ba5d4390d8202c6e

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-021-88226-3

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