Paper Title
Implementation of an Automatic and Real-Time Detection of Glucose Levels based on Machine Learning Techniques
Article Identifiers
Authors
M. Murali , Dr. P. G. Kuppusamy , Dr. D. Joseph Jeyakumar , M.Mariselvam
Keywords
Glucose Levels, Gaussian Filter, Histogram Feature, Support Vector Machine (SVM).
Abstract
Technology is constantly evolving to make it easier for people to work in biomedical research and technology daily. The glucose level checking system can use a urine analyzer detector as a color reader of the urine strip. This work aims to analyze glucose levels based on digital picture identification using the MATLAB application for patient glucose data processing. Injections are joint for diabetic people to control their blood sugar levels. Repeated injections might cause minor physical harm to the body that can hamper the immune system's ability to fight against pathogens. Numerous research has concentrated on non-invasive glucose-based testing, namely using urine. This study was created using image processing to examine the non- invasive glucose testing procedure. The noise is cleaned up using a Gaussian filter and histogram-based feature extraction for picture database extraction. Support vector machines classify data using a 70% training and 30% testing process. The SVM classification results had an accuracy of 85% and time processing of 0.5 seconds. In making medical decisions, it is possible to consider the effects of diabetes, pre-diabetes, and non-diabetes.
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How To Cite (APA)
M. Murali, Dr. P. G. Kuppusamy, Dr. D. Joseph Jeyakumar, & M.Mariselvam (August-2024). Implementation of an Automatic and Real-Time Detection of Glucose Levels based on Machine Learning Techniques. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(8), c1-c7. https://ijnrd.org/papers/IJNRD2408201.pdf
Issue
Volume 9 Issue 8, August-2024
Pages : c1-c7
Other Publication Details
Paper Reg. ID: IJNRD_226557
Published Paper Id: IJNRD2408201
Downloads: 000121983
Research Area: Engineering
Country: Chennai, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2408201.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408201
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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