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Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multice...

Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multice...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_02fac2c9c60242bebdd4de7e0fafb6d2

Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

About this item

Full title

Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

Publisher

Cham: Springer International Publishing

Journal title

Intensive Care Medicine Experimental, 2021-06, Vol.9 (1), p.32-32, Article 32

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Background
The identification of risk factors for adverse outcomes and prolonged intensive care unit (ICU) stay in COVID-19 patients is essential for prognostication, determining treatment intensity, and resource allocation. Previous studies have determined risk factors on admission only, and included a limited number of predictors. Therefore, u...

Alternative Titles

Full title

Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_02fac2c9c60242bebdd4de7e0fafb6d2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_02fac2c9c60242bebdd4de7e0fafb6d2

Other Identifiers

ISSN

2197-425X

E-ISSN

2197-425X

DOI

10.1186/s40635-021-00397-5

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