A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19.
Saved in:
| Title: | A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19. |
|---|---|
| Authors: | Bendavid, Itai1 (AUTHOR) itbd@walla.com, Statlender, Liran1 (AUTHOR), Shvartser, Leonid2 (AUTHOR), Teppler, Shmuel2 (AUTHOR), Azullay, Roy2 (AUTHOR), Sapir, Rotem2 (AUTHOR), Singer, Pierre1 (AUTHOR) |
| Source: | Scientific Reports. 6/22/2022, Vol. 12 Issue 1, p1-14. 14p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: asn DbLabel: Academic Search Ultimate An: 157587043 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bendavid%2C+Itai%22">Bendavid, Itai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> itbd@walla.com</i><br /><searchLink fieldCode="AR" term="%22Statlender%2C+Liran%22">Statlender, Liran</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shvartser%2C+Leonid%22">Shvartser, Leonid</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Teppler%2C+Shmuel%22">Teppler, Shmuel</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Azullay%2C+Roy%22">Azullay, Roy</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sapir%2C+Rotem%22">Sapir, Rotem</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Singer%2C+Pierre%22">Singer, Pierre</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 6/22/2022, Vol. 12 Issue 1, p1-14. 14p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=157587043 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-022-14758-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Titles: – TitleFull: A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bendavid, Itai – PersonEntity: Name: NameFull: Statlender, Liran – PersonEntity: Name: NameFull: Shvartser, Leonid – PersonEntity: Name: NameFull: Teppler, Shmuel – PersonEntity: Name: NameFull: Azullay, Roy – PersonEntity: Name: NameFull: Sapir, Rotem – PersonEntity: Name: NameFull: Singer, Pierre IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 06 Text: 6/22/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
| ResultId | 1 |