Transformer-based deep learning for early detection of intensive care unit-acquired bloodstream infection through multivariate time-series analysis.

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Bibliographic Details
Title: Transformer-based deep learning for early detection of intensive care unit-acquired bloodstream infection through multivariate time-series analysis.
Authors: Peng JC; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China., Liang JR; Shanghai AIMSN Medical & Technology Development Co., Ltd, Shanghai, China., Zhu ML; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China., Wang C; Shanghai AIMSN Medical & Technology Development Co., Ltd, Shanghai, China., Gao Y; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Source: Digital health [Digit Health] 2026 Jan 06; Vol. 12, pp. 20552076251412651. Date of Electronic Publication: 2026 Jan 06 (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:10.1177/20552076251412651