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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...
Autores principales: | Liu, Tao, Ren, Zhong, Xiong, Chengxin, Peng, Wenping, Wu, Junli, Huang, Shuanggen, Liang, Gaoqiang, Sun, Bingheng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
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 |
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