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An interpretable machine learning model for prediction of significant liver fibrosis in comorbid chronic hepatitis B and nonalcoholic fatty liver disease: a retrospective development and validation study

Crossref DOI link: https://doi.org/10.1186/s12876-025-04594-4

Published Online: 2026-01-16

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

Authors

Gu, Jiaping https://orcid.org/0009-0003-8982-6676
Chai, Jiale https://orcid.org/0009-0006-1092-8939
Funding

Funding for this research was provided by:

the Medical and Health Science and Technology Project of Zhejiang Province (2024KY1462)

the Medical and Health Science and Technology Project of Zhejiang Province (2024KY1462)
License Information

Text and Data Mining valid from 2026-01-16

Version of Record valid from 2026-02-11
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Article History

Received: 4 November 2025

Accepted: 29 December 2025

First Online: 16 January 2026

Declarations

:

: The study protocol was reviewed and approved by the Ethics Committee of Linping First People’s Hospital (Approval No. 2023-Research-118), and all participants provided written informed consent before participation.

: Not applicable.

: The authors declare no competing interests.

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