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A smartphone based multi input workflow for non-invasive estimation of haemoglobin levels using machine learning techniques
[article]
2020
arXiv
pre-print
We suggest a low cost, non invasive healthcare system that measures haemoglobin levels in patients and can be used as a preliminary diagnostic test for anaemia. A combination of image processing, machine learning and deep learning techniques are employed to develop predictive models to measure haemoglobin levels. This is achieved through the color analysis of the fingernail beds, palpebral conjunctiva and tongue of the patients. This predictive model is then encapsulated in a healthcare
arXiv:2011.14370v1
fatcat:oxm4e6hzsveqbaclc2pegtxmbu