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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Bibliographic Details

Published in:	Frontiers in Public Health
Main Authors:	Xiaomei Shao, Ling Zhang, Yuting Wang, Youmei Ying, Xueqin Chen
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-07-01
Subjects:	chronic obstructive pulmonary disease machine learning partial dependence plot SHapley additive exPlanations environment pollution
Online Access:	https://www.frontiersin.org/articles/10.3389/fpubh.2025.1602566/full