Unsupervised clustering for sepsis identification in large-scale patient data: a model development and validation study
Abstract Background Sepsis is a major global health problem. However, it lacks a true reference standard for case identification, complicating epidemiologic surveillance. Consensus definitions have changed multiple times, clinicians struggle to identify sepsis at the bedside, and differing identific...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-03-01
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| Series: | Intensive Care Medicine Experimental |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40635-025-00744-w |
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