A Visionary Approach to Anemia Detection: Integrating Eye Condition Data and Machine Learning
M. Asha Priyadarshini, Sk. Salma, Damera Sailesh, Eda Manasa, G. Lakshmi Charan, Bussa Dinesh · Advances in computer science research · 2024
A low level of haemoglobin in the blood is known as anemia, and it can seriously harm important organs like the kidneys and heart.Conventional diagnostic techniques frequently require intrusive procedures, which causes anxiety in the patient and postpones care.This work uses images of the palpebral conjunctiva, which is known to show pallor in anemic people, to provide a unique, non-invasive method of detecting anemia.Our approach attempts to provide an easy-to-use way of early detection of at-risk individuals by conjunctival paleness analysis, allowing for prompt treatments.Using machine learning and integration of eye condition data, our innovative method guarantees quick, easy, and accessible anemia diagnosis for anyone.This advancement in technology has the potential to transform patient outcomes, promote global mental health, and change the way healthcare is delivered.We believe that with continued study and improvement, our method will have a major influence on the identification of anemia and open the door to improved health outcomes globally.