Machine learning based classification of catastrophic health expenditures: a cross-sectional study of Korean low-income households.
Journal:
BMC health services research
Published Date:
Aug 7, 2025
Abstract
BACKGROUND: Despite the National Health Insurance (NHI) system implemented in South Korea, concerns persist regarding access to health coverage for low-income households. To address this issue, this study aims to use machine learning-based data mining techniques to classify whether such households will face catastrophic health expenditures (CHEs).
