Identifying emphysema risk using brominated flame retardants exposure: a machine learning predictive model based on the SHAP methodology

Identifying emphysema risk using brominated flame retardants exposure: a machine learning predictive model based on the SHAP methodology

BackgroundEmphysema is a major contributor to lung disease progression and is associated with significant health risks, including exacerbations, mortality, and lung cancer. While environmental exposures, such as brominated flame retardants (BFRs), have been suggested as risk factors, their role in e...

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Bibliographic Details
Main Authors: Qihang Xie, Haoran Qu, Jianfeng Li, Rui Zeng, Wenhao Li, Rui Ouyang, Chengxiang Zhang, Siyu Xie, Ming Du
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Public Health
Subjects:
machine learning
SHAP
environmental exposure
brominated flame retardants
emphysema
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1600729/full
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