Exploring the association between volatile organic compound exposure and chronic kidney disease: evidence from explainable machine learning methods.
Journal:
Renal failure
Published Date:
Jun 23, 2025
Abstract
BACKGROUND: Chronic Kidney Disease (CKD) affects approximately 697.5 million people worldwide. Volatile organic compounds (VOCs) are emerging as potential risk factors, but their complex relationships with CKD may be underestimated by traditional linear methods. This study explores the association between urinary VOC metabolites and CKD risk using a combination of epidemiological and interpretable machine learning approaches.
