Code for Benchmarking machine learning for cardiovascular disease classification across 46 countries with geographic and temporal transportability assessment
Background: Machine-learning models for cardiovascular disease (CVD) are often evaluated with random participant splits, which may overstate performance when countries differ in prevalence, risk-factor distributions, healthcare access, and survey implementation. We benchmarked statistical and machine-learning classifie...