Tissue Surface-enhanced Raman Spectroscopy Combined with Machine Learning Algorithms for Rapid Detection of Alveolar Echinococcosis

• Published in: 2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA) pp. 194 - 197
• Main Authors: Huang, Jiahui, Zheng, Xiangxiang, Lv, Guodong, Li, Xiaojing, Wu, Guohua, Xu, Liang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 21.07.2024
• Subjects: Accuracy; alveolar echinococcosis; Analytical models; Biological system modeling; Interference; Kernel; Machine learning; Machine learning algorithms; Raman scattering; rapid diagnosis; Support vector machines; Surface resistance; surface-enhanced Raman scattering; tissue samples

Alveolar echinococcosis (AE) remains a serious worldwide public health problem as a very harmful human tapeworm disease. Rapid and accurate diagnosis of AE is crucial for treatment and postoperative recovery. This study explored the applicability of tissue surface Raman spectroscopy (SERS) combined...