A Visionary Approach to Anemia Detection: Integrating Eye Condition Data and Machine Learning

DOI

10.2991/978-94-6463-471-6_75How to use a DOI?

Keywords

Anemia; Haemoglobin; Palpebral conjunctiva; Non-invasive detection; Machine learning; Eye condition data; Early detection; Prompt treatment; Global health; Healthcare transformation

Abstract

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.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - M. Asha Priyadarshini
AU  - Sk. Salma
AU  - Damera Sailesh
AU  - Eda Manasa
AU  - G. Lakshmi Charan
AU  - Bussa Dinesh
PY  - 2024
DA  - 2024/07/30
TI  - A Visionary Approach to Anemia Detection: Integrating Eye Condition Data and Machine Learning
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 781
EP  - 793
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_75
DO  - 10.2991/978-94-6463-471-6_75
ID  - Priyadarshini2024
ER  -