Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers.

Authors:
Zhang G; Shao F; Yuan W; Wu J; Qi X and 4 more

Journal:
Eur J Med Res

Publication Year: 2024

DOI:
10.1186/s40001-024-01756-0

PMCID:
PMC10918942

PMID:
38448999

Journal Information

Journal Title: Eur J Med Res

Detailed journal information not available.

Publication Details

Subject Category: Medicine, Research & Experimental

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Declarations Ethics approval and consent to participateEthical review and approval were not required for the study on human participants following the local legislation and institutional requirements. This study did not require informed consent for participation under national legislation and institutional requirements. Competing interestsThe authors declare that the research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. Competing interests The authors declare that the research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest."

Evidence found in paper:

"Funding The study was supported by High-Level Public Health Technical Talent Building Program."

Protocol Registration
Open Access
Paper is freely available to read
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Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025