Child Mortality Prediction Using Machine Learning Techniques

Child mortality remains a significant global health concern, particularly in developing nations. Predicting child mortality using machine learning techniques offers a promising approach to identifying at-risk children and enabling early interventions. This study explores various machine learning models to predict child mortality based on factors such as health conditions, socioeconomic status, environmental influences, and demographic attributes. By utilizing historical and real-time datasets, preprocessing techniques, and feature