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Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY tria...

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY tria...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7410013

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial

About this item

Full title

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2020-09, Vol.124, p.103949-103949, Article 103949

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractBackgroundCurrently, physicians are limited in their ability to provide an accurate prognosis for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying patient decompensation. Machine learning (ML) may offer an alternative strategy. A prospectively validated method to predict the need for ventilation in...

Alternative Titles

Full title

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7410013

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7410013

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2020.103949

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