Machine Learning Based Prediction of Non-communicable Diseases to Improving Intervention Program in Bangladesh

This paper presents a machine learning-based approach to predict non-communicable diseases (NCDs) in Bangladesh, with the aim of improving intervention programs. The research utilizes various data points to identify individuals at high risk of developing NCDs, allowing for early detection and targeted preventative measures. The findings offer valuable insights for public health strategies, enabling more effective allocation of resources and ultimately contributing to better health outcomes in the region.