Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
#262
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
Fleuren LM et al.
PaperEvaluateClassical (pre-LLM)Open access
High reported AUCs but heterogeneous definitions and high bias
- Journal
- Intensive Care Medicine
- Year
- 2020
- DOI
- Not confirmed
- Paper type
- Systematic review
DOI (confirmed 2026-09-27): https://doi.org/10.1007/s00134-019-05872-y
Free full text (Unpaywall, 2026-09-27): https://link.springer.com/content/pdf/10.1007/s00134-019-05872-y.pdf
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More details
- Open-access status
- Not confirmed
- Track and node
- Anaes · Sepsis prediction
- Depth level
- Evaluate
- Currency note
- Pre-LLM
Resource-list status: S
Listed under: Anaesthesia / perioperative & critical-care specialty: Papers
Link checked: 2026-09-27 · Details researched: 2026-09-27Report a problem