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Development of machine learning-based personalized predictive models for risk evaluation of hepatocellular carcinoma in hepatitis B virus-related cirrhosis patients with low levels of serum alpha-fetoprotein

Crossref DOI link: https://doi.org/10.1016/j.aohep.2024.101540

Published Print: 2024-11

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Xu, Yuan

Zhang, Bei

Zhou, Fan

Yi, Ying-ping

Yang, Xin-Lei

Ouyang, Xiao

Hu, Hui
Funding

Funding for this research was provided by:

Science and Technology Department of Ningxia Province (20212ABC03A37)

Jiangxi Provincial Department of Science and Technology (20212BAG70012)

Nanchang University (2023efyB02)
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Text and Data Mining valid from 2024-11-01

Text and Data Mining valid from 2024-11-01

Version of Record valid from 2024-08-09
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This article is maintained by: Elsevier

Article Title: Development of machine learning-based personalized predictive models for risk evaluation of hepatocellular carcinoma in hepatitis B virus-related cirrhosis patients with low levels of serum alpha-fetoprotein

Journal Title: Annals of Hepatology

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.aohep.2024.101540

Content Type: article

Copyright: © 2024 Fundación Clínica Médica Sur, A.C. Published by Elsevier España, S.L.U.

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