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Portable system for the prediction of anemia based on the ocular conjunctiva using Artificial Intelligence (1910.12399v1)

Published 25 Oct 2019 in eess.IV and cs.CV

Abstract: Anemia is a major health burden worldwide. Examining the hemoglobin level of blood is an important way to achieve the diagnosis of anemia, but it requires blood drawing and a blood test. In this work we propose a non-invasive, fast, and cost-effective screening test for iron-deficiency anemia in Peruvian young children. Our initial results show promising evidence for detecting conjunctival pallor anemia and Artificial Intelligence techniques with photos taken with a popular smartphone.

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