Machine Learning Classification of Prevalent Chronic Disease Using Multidimensional Social, Behavioral, and Psychological Determinants: A Cross-Sectional Analysis of the 2024 National Health Interview Survey.

Chronic diseases account for approximately 90% of the $4.5 trillion annual healthcare expenditure in the United States.

To develop and compare machine learning models that classify the presence of six major chronic conditions-hypertension, type 2 diabetes, coronary heart disease, COPD, depression, and anxiety-using an integrated framework encompassing demographic, socioeconomic, behavioral, psychosocial, healthcare access, functional status, and COVID-19-related predictors; and to quantify the relative predictive importance of each domain across disease categories.