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

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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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  Data: <searchLink fieldCode="AU" term="%22Peng+JC%22">Peng JC</searchLink>; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Liang+JR%22">Liang JR</searchLink>; Shanghai AIMSN Medical & Technology Development Co., Ltd, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Zhu+ML%22">Zhu ML</searchLink>; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Wang+C%22">Wang C</searchLink>; Shanghai AIMSN Medical & Technology Development Co., Ltd, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Gao+Y%22">Gao Y</searchLink>; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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  Data: <searchLink fieldCode="JN" term="%22101690863%22">Digital health</searchLink> [Digit Health] 2026 Jan 06; Vol. 12, pp. 20552076251412651. <i>Date of Electronic Publication: </i>2026 Jan 06 (<i>Print Publication: </i>2026).
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  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
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        Value: 10.1177/20552076251412651
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      – Code: eng
        Text: English
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      – TitleFull: Transformer-based deep learning for early detection of intensive care unit-acquired bloodstream infection through multivariate time-series analysis.
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            – D: 06
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              Text: 2026 Jan 06
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