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Using machine learning methods to investigate the impact of age on the causes of death in patients with early intrahepatic cholangiocarcinoma who underwent surgery

Crossref DOI link: https://doi.org/10.1007/s12094-024-03716-w

Published Online: 2024-09-11

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

Authors

Song, Shiqin

Song, Shixiong

Zhao, Huarong

Huang, Shike

Xiao, Xinghua

Lv, Xiaobo

Deng, Yuehong

Tao, Yiyin

Liu, Yanlin

Su, Ke

Cheng, Shansha https://orcid.org/0000-0002-7948-6335
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Text and Data Mining valid from 2024-09-11

Version of Record valid from 2024-09-11
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Article History

Received: 21 July 2024

Accepted: 2 September 2024

First Online: 11 September 2024

Declarations

:

: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

: Approval from the local research ethics committee was deemed unnecessary for this study because the SEER data are publicly accessible for research purposes.

: Individual informed consent is not applicable for this type of database analysis.

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