Construction and validation of a risk prediction model for chronic obstructive pulmonary disease (COPD): a cross-sectional study based on the NHANES database from 2009 to 2018.
Journal:
BMC pulmonary medicine
Published Date:
Jul 3, 2025
Abstract
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a major global public health concern, and early screening and identification of high-risk populations are critical for reducing the disease burden. Although several studies have explored the application of machine learning methods in COPD risk prediction, existing models often have limited feature dimensions and insufficient interpretability. Identifying key risk factors and constructing reliable predictive models remain challenges in clinical practice.
