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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Frontiers in Public Health
المؤلفون الرئيسيون: Xiaomei Shao, Ling Zhang, Yuting Wang, Youmei Ying, Xueqin Chen
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Frontiers Media S.A. 2025-07-01
الموضوعات:
chronic obstructive pulmonary disease
machine learning
partial dependence plot
SHapley additive exPlanations
environment pollution
الوصول للمادة أونلاين:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1602566/full

الانترنت

https://www.frontiersin.org/articles/10.3389/fpubh.2025.1602566/full

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