Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms.

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Bibliographic Details
Title: Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms.
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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ISSN:2055-2076
DOI:10.1177/20552076261428383