Non-invasive glucose prediction and classification using NIR technology with machine learning

Non-invasive glucose prediction and classification using NIR technology with machine learning

In this paper, a dual wavelength short near-infrared system is described for the detection of glucose levels. The system aims to improve the accuracy of blood glucose detection in a cost-effective and non-invasive way. The accuracy of the method is evaluated using real-time samples collected with th...

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Bibliographic Details
Main Authors: M. Naresh, V. Siva Nagaraju, Sreedhar Kollem, Jayendra Kumar, Samineni Peddakrishna
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Absorbance
Spectroscopy
Glucose
Infrared
Machine learning
Noninvasive
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024047510

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024047510

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