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

Autor: Naresh M; School of Electronics Engineering, VIT-AP University, Amaravti, Guntur, 522241, Andhra Pradesh, India., Nagaraju VS; Department of ECE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, 500043, Telangana, India., Kollem S; Department of ECE, School of Engineering, SR University, Warangal, 506371, Telangana, India., Kumar J; School of Electronics Engineering, VIT-AP University, Amaravti, Guntur, 522241, Andhra Pradesh, India., Peddakrishna S; School of Electronics Engineering, VIT-AP University, Amaravti, Guntur, 522241, Andhra Pradesh, India.

Publikováno v: Heliyon [Heliyon] 2024 Mar 28; Vol. 10 (7), pp. e28720. Date of Electronic Publication: 2024 Mar 28 (Print Publication: 2024).