AN INTERPRETABLE MACHINE LEARNING FRAMEWORK FOR TRANSPARENT ANAEMIA DETECTION
DOI:
https://doi.org/10.48047/kfzaar31Keywords:
Non-invasive Anemia Detection, Hemoglobin Estimation, Deep Learning, Computer Vision, Fingernail Image Analysis, Flask Web Application.Abstract
Anemia is a common medical condition that needs to be promptly diagnosed to avoid complications. Generally, hemoglobin testing is performed using laboratory testing and invasive blood sampling, which can be difficult to access often in remote and resource-limited settings. This project aims to present a Smart Anemia Detection system based on AI and the image of the fingernail to estimate the
Hemoglobin concentration without taking a blood sample.
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