Machine learning predicts the short-term requirement for invasive ventilation among Australian critically ill COVID-19 patients.
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| Title: | Machine learning predicts the short-term requirement for invasive ventilation among Australian critically ill COVID-19 patients. |
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| Authors: | Karri, Roshan1 (AUTHOR), Chen, Yi-Ping Phoebe2 (AUTHOR), Burrell, Aidan J. C.3,4 (AUTHOR), Penny-Dimri, Jahan C.1 (AUTHOR), Broadley, Tessa3 (AUTHOR), Trapani, Tony3 (AUTHOR), Deane, Adam M.5,6 (AUTHOR), Udy, Andrew A.3,4 (AUTHOR), Plummer, Mark P.5,6 (AUTHOR) Mark.plummer@mh.org.au |
| Source: | PLoS ONE. 10/26/2022, Vol. 17 Issue 10, p1-15. 15p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 159867707 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=159867707 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0276509 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Titles: – TitleFull: Machine learning predicts the short-term requirement for invasive ventilation among Australian critically ill COVID-19 patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Karri, Roshan – PersonEntity: Name: NameFull: Chen, Yi-Ping Phoebe – PersonEntity: Name: NameFull: Burrell, Aidan J. C. – PersonEntity: Name: NameFull: Penny-Dimri, Jahan C. – PersonEntity: Name: NameFull: Broadley, Tessa – PersonEntity: Name: NameFull: Trapani, Tony – PersonEntity: Name: NameFull: Deane, Adam M. – PersonEntity: Name: NameFull: Udy, Andrew A. – PersonEntity: Name: NameFull: Plummer, Mark P. IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 10 Text: 10/26/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 17 – Type: issue Value: 10 Titles: – TitleFull: PLoS ONE Type: main |
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