Optoacoustic classification of diabetes mellitus with the synthetic impacts via optimized neural networks

A highly accurate classification of diabetes mellitus (DM) with the synthetic impacts of several variables is first studied via optoacoustic technology in this work. For this purpose, an optoacoustic measurement apparatus of blood glucose is built, and the optoacoustic signals and peak–peak values f...

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Bibliographic Details
Main Authors: Tao Liu, Zhong Ren, Chengxin Xiong, Wenping Peng, Junli Wu, Shuanggen Huang, Gaoqiang Liang, Bingheng Sun
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023080040