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

The deep learning transformer using time series data demonstrates strong potential as a clinical decision support tool.

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Publication Details

Journal
Digital Health
Published
2026-01-01
DOI
https://doi.org/10.1177/20552076251412651
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Mingli Zhu, Jiang-Chen Peng, C. Wang, Jia-Rui Liang et al.
Digital Health
Sepsis Diagnosis and Treatment
article

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

Mingli Zhu, Jiang-Chen Peng, C. Wang, Jia-Rui Liang, Yuan Gao
article en

Abstract

The deep learning transformer using time series data demonstrates strong potential as a clinical decision support tool.

Digital HealthVol. 12
Shanghai Jiao Tong University (CN), Renji Hospital (CN), Shanghai Medical Information Center (CN)
Gender equality
Openalex Percentile: Top 96%
Sepsis Diagnosis and Treatment
DOIOpen Access PDFOpenAlex
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