Predicting utilization of emergency contraceptives in ethiopia and identifying its predictors using machine learning
Abstract Despite policy support, inappropriate use of emergency contraception in Ethiopia contributes to high rates of unintended pregnancy and maternal mortality. Traditional statistical analyses have struggled to identify complex predictors. This study used machine learning and Explainable AI to improve the predictio...