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Stacking classifiers based on integrated machine learning model: fusion of CT radiomics and clinical biomarkers to predict lymph node metastasis in locally advanced gastric cancer patients after neoadjuvant chemotherapy

Crossref DOI link: https://doi.org/10.1186/s12885-025-14259-w

Published Online: 2025-05-06

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

Authors

Ling, Tong

Zuo, Zhichao

Huang, Mingwei

Ma, Jie

Wu, Liucheng
Funding

Funding for this research was provided by:

The study was supported by National Natural Science Foundation of GuangXi (No. 2024GXNSFAA010407)
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Text and Data Mining valid from 2025-05-06

Version of Record valid from 2025-05-06
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Article History

Received: 20 February 2025

Accepted: 2 May 2025

First Online: 6 May 2025

Declarations

:

: This study strictly adheres to the ethical guidelines established by the Declaration of Helsinki. It received approval from the Ethics Committee of Guangxi Medical University Cancer Hospital (KW2025582). Additionally, due to the retrospective nature of this study and the anonymization of patient data, the Ethics Committee granted a waiver for informed consent.

: Not applicable.

: The authors declare no competing interests.

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