Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms.
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| Title: | Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms. |
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| Authors: | Schwinn J; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany., Sheikhalishahi S; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany., Morhart M; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany., Soto Rey I; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany., Simon P; Anesthesiology and Operative Intensive Care, Faculty of Medicine, University of Augsburg, Augsburg, Germany., Kaspar M; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany., Hinske LC; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany. |
| Source: | Digital health [Digit Health] 2026 Apr 25; Vol. 12, pp. 20552076261428383. Date of Electronic Publication: 2026 Apr 25 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42078831 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Schwinn+J%22">Schwinn J</searchLink>; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany.<br /><searchLink fieldCode="AU" term="%22Sheikhalishahi+S%22">Sheikhalishahi S</searchLink>; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany.<br /><searchLink fieldCode="AU" term="%22Morhart+M%22">Morhart M</searchLink>; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany.<br /><searchLink fieldCode="AU" term="%22Soto+Rey+I%22">Soto Rey I</searchLink>; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany.<br /><searchLink fieldCode="AU" term="%22Simon+P%22">Simon P</searchLink>; Anesthesiology and Operative Intensive Care, Faculty of Medicine, University of Augsburg, Augsburg, Germany.<br /><searchLink fieldCode="AU" term="%22Kaspar+M%22">Kaspar M</searchLink>; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany.<br /><searchLink fieldCode="AU" term="%22Hinske+LC%22">Hinske LC</searchLink>; Digital Medicine, University Hospital of Augsburg, Augsburg, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101690863%22">Digital health</searchLink> [Digit Health] 2026 Apr 25; Vol. 12, pp. 20552076261428383. <i>Date of Electronic Publication: </i>2026 Apr 25 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications+Ltd%22">SAGE Publications Ltd </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101690863 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2055-2076 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220552076%22">20552076 </searchLink><i>NLM ISO Abbreviation: </i>Digit Health <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42078831 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/20552076261428383 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 20552076261428383 Titles: – TitleFull: Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schwinn J – PersonEntity: Name: NameFull: Sheikhalishahi S – PersonEntity: Name: NameFull: Morhart M – PersonEntity: Name: NameFull: Soto Rey I – PersonEntity: Name: NameFull: Simon P – PersonEntity: Name: NameFull: Kaspar M – PersonEntity: Name: NameFull: Hinske LC IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 04 Text: 2026 Apr 25 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2055-2076 Numbering: – Type: volume Value: 12 Titles: – TitleFull: Digital health Type: main |
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