Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context

This study demonstrates the promising potential of Random Forest in predicting anemia severity among pregnant women in Ethiopia. The findings contribute to a more holistic understanding of anemia risk factors and pave the way for improved early detection and targeted interventions.