Non-Invasive Near-Infrared-Based Optical Glucose Detection System for Accurate Prediction and Multi-Class Classification
Journal Title: International Journal of Experimental Research and Review - Year 2023, Vol 31, Issue 2
Abstract
One of the most common diseases around the world is diabetes. Intrusive methods involving blood samples via a finger prick are required to test for diabetes. These treatments are uncomfortable and prone to infection. Non-invasive testing is proposed as a solution to this concerning problem. To test the glucose levels of subjects, a shortwave near-infrared-based optical detection system with a 950 nm wavelength sensor in reflective mode is presented. The system collects the measured signal through voltage, transmittance, absorbance and reflections to estimate glucose. The relation between voltage and predicted glucose is evaluated from the absorbance, reflectance, and voltage for 575 samples. A Multiple linear regression (MLR) expression is used in the proposed method to enhance the accuracy. The proposed method achieves a coefficient of determination (R2) of 99% and a mean absolute derivative of 3.6 mg/dl in real-time data analysis with the sensor. The root mean square error (RMSE) is also calculated as 3.46 mg/dl. Three additional machine learning classifiers are employed to achieve high accuracy in multi-class classification. Adaboosting and Gaussian Naïve Bayes classifiers achieve an accuracy of 97% each. Furthermore, the system computes performance metrics such as precision, recall, and F1-score, and predicts the class on the test sample.
Authors and Affiliations
M Naresh, Samineni Peddakrishna
Keywords
Related Articles
- EP ID EP719469
- DOI https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.012
- Views 46
- Downloads 0
Tourism caused jeopardize of biodiversity: a case study on Mandermoni –Dadanpatrabarh coastal tourist destination in Purba Medinipur district, West Bengal, India
The present study is conducted to correlate among tourism and biodiversity, environment , physical and socio-cultural landscape. Tourism is now a major contributor to foreign exchange, money earnings and provides employm...
A Cross-Sectional Study on the Effect of Stress on Short-Term Heart Rate Variability and Muscle Strength Among Construction Site Workers
This cross-sectional study investigates the immediate impact of occupational stress on short-term heart rate variability (HRV) and muscle strength among 200 construction workers in Chennai. The Perceived Stress Scale (PS...
Artificial Intelligence Driven Bibliometric Insights: Pioneering Down Syndrome Research
The present bibliometric analysis investigates the scholarly output from 2013 to 2022 to explore the use of artificial intelligence (AI) in Down syndrome research. The analysis demonstrates a significant and rapid growth...
Preclinical evaluation of the diabetic wound healing activity of phytoconstituents extracted from Ficus racemosa Linn. leaves
Human body has several multi-layered organs, but skin is one of biggest and easiest to access. It serves as body's primary line of defense alongside various skin diseased conditions. Despite receiving sufficient and appr...
Integrated Bioinformatics Analysis and Transcriptomics Analysis Predict Jumonji and AT Rich Interacting Domain2 (JARID2) as a Therapeutic Target in Human Cancers
Jumonji and AT Rich Interacting Domain2 (JARID2) protein is recognized as a pivotal gene among the Polycomb Repressive Complex2 (PRC2) components. Nevertheless, the systematic assessment of JARID2 in cancers will enable...