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

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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Main Authors: Xiaomei Shao, Ling Zhang, Yuting Wang, Youmei Ying, Xueqin Chen
פורמט: Article
שפה:אנגלית
יצא לאור: Frontiers Media S.A. 2025-07-01
סדרה:Frontiers in Public Health
נושאים:
chronic obstructive pulmonary disease
machine learning
partial dependence plot
SHapley additive exPlanations
environment pollution
גישה מקוונת:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1602566/full
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