Developing an interpretable machine learning predictive model of chronic obstructive pulmonary disease by serum PFAS concentration

BackgroundChronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, with limited early detection strategies. While previous studies have examined the relationship between per- and polyfluoroalkyl substances (PFAS) and COPD, limited research has applied int...

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Bibliografiske detaljer
Main Authors: Xiaomei Shao, Ling Zhang, Yuting Wang, Youmei Ying, Xueqin Chen
Format: Article
Sprog:engelsk
Udgivet: Frontiers Media S.A. 2025-07-01
Serier:Frontiers in Public Health
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Online adgang:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1602566/full
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