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Development and internal validation of an interpretable machine-learning model for predicting sepsis within 48 hours after admission in emergency-admitted patients with pulmonary infection

Crossref DOI link: https://doi.org/10.1186/s12873-026-01725-2

Published Online: 2026-08-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lin, Shihui

Zhang, Shuai
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Text and Data Mining valid from 2026-08-12

Accepted Manuscript valid from 2026-08-12
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Article History

Received: 20 May 2026

Accepted: 5 August 2026

First Online: 12 August 2026

Declarations

Ethics approval and consent to participate: The study protocol was reviewed and approved by the Ethics Committee of Ningde Municipal Hospital. Because this study used previously collected medical records and all data were de-identified before analysis, the requirement for informed consent was waived by the Ethics Committee of Ningde Municipal Hospital. The study was conducted in accordance with the principles of the Declaration of Helsinki.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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