Hybrid explainable machine learning for population level cardiovascular disease risk prediction using satellite environmental data
Cardiovascular disease (CVD) remains one of the main causes of death worldwide, and better risk prediction is needed to support early prevention and public health planning. Most existing prediction studies focus mainly on clinical variables, while environmental and regional influences are often underused. This study pr...