Zinabu Bekele Tadese, Araya Mesfin Nigatu, Tirualem Zeleke Yehuala, Yakub Sebastian
Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach
Scientific reports
paper aims propose approach leveraging artificial intelligence ai diagnose thalassemia medical imaging idea employ unet neural network architecture precise erythrocyte morphology detection classification thalassemia diagnosis accomplishment realized developing assessing supervised semantic segmentation model blood smear images coupled deployment various data engineering techniques methodology enables new applications tailored medical interventions contributes evolution ai within precision healthcare establishing new benchmarks personalized treatment planning disease management