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Interpretable machine learning unveils non-linear inflammatory thresholds and synergistic interactions in post-burn hypertrophic scarring: development of an intelligent clinical decision support system

Crossref DOI link: https://doi.org/10.1038/s41598-026-36868-6

Published Online: 2026-02-02

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

Authors

Tian, Tian

Liu, Shan

Ji, Geng
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Text and Data Mining valid from 2026-02-02

Version of Record valid from 2026-02-18
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Article History

Received: 28 November 2025

Accepted: 16 January 2026

First Online: 2 February 2026

Declarations

:

: The authors declare no competing interests.

: Ethical approval for the study protocol was granted by the Institutional Review Board (IRB) of Taizhou People’s Hospital (Approval No. KL901064), and the study was executed in full compliance with the ethical principles outlined in the Declaration of Helsinki.

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