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Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features

Crossref DOI link: https://doi.org/10.1007/s00432-025-06241-7

Published Online: 2025-06-17

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

Authors

Wang, Dingxin

Qiu, Jianhao

Li, Rongyang

Tian, Hui
Funding

Funding for this research was provided by:

Natural Science Foundation of Shandong Province (No. ZR2021LSW006)

Taishan Scholar Program of Shandong Province (No. ts201712087)
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Text and Data Mining valid from 2025-06-17

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Article History

Received: 28 April 2025

Accepted: 9 June 2025

First Online: 17 June 2025

Declarations

:

: This retrospective study was performed in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board of Qilu Hospital of Shandong University. A waiver of informed consent was obtained due to the retrospective nature of the study.

: Not applicable.

: The authors declare no competing interests.

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