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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Detalles Bibliográficos
Autores principales: Liu, Tao, Ren, Zhong, Xiong, Chengxin, Peng, Wenping, Wu, Junli, Huang, Shuanggen, Liang, Gaoqiang, Sun, Bingheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569993/
https://www.ncbi.nlm.nih.gov/pubmed/37842612
http://dx.doi.org/10.1016/j.heliyon.2023.e20796

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569993/
https://www.ncbi.nlm.nih.gov/pubmed/37842612
http://dx.doi.org/10.1016/j.heliyon.2023.e20796

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