Development and validation of machine learning models based on blood routine tests and tumor markers in early screening of primary bronchogenic lung cancer

The ML models developed possess substantial application value in the early screening of PBLC, which is beneficial for the prompt detection and treatment of individuals diagnosed with PBLC.

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Publication Details

Journal
Translational Lung Cancer Research
Published
2025-12-01
DOI
https://doi.org/10.21037/tlcr-2025-970
Primary Topic
Lung Cancer Research Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of machine learning models based on blood routine tests and tumor markers in early screening of primary bronchogenic lung cancer

Baoru Han, Chunyan Yang, Xuelian Peng, Jinlong Li et al.
Translational Lung Cancer Research
Lung Cancer Research Studies
article

Development and validation of machine learning models based on blood routine tests and tumor markers in early screening of primary bronchogenic lung cancer

Baoru Han, Chunyan Yang, Xuelian Peng, Jinlong Li, Li Pan, Yulong Liu, Wenjing Deng, Haolin Wang
article en

Abstract

The ML models developed possess substantial application value in the early screening of PBLC, which is beneficial for the prompt detection and treatment of individuals diagnosed with PBLC.

Translational Lung Cancer ResearchVol. 14(12)
The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Dazu District People's Hospital (CN), Chongqing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 30%
Lung Cancer Research Studies
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