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Preliminary study on the quick detection of Acquired Immune Deficiency Syndrome by saliva analysis using surface
Wang Yan1, Hua Lin, Liu Jinghua
1Biomedical Engineering College of Capital University of Medical Sciences, Beijing, China 100069.
Abstract:
45 saliva samples of AIDS patients and 55 saliva samples in normal population were detected by the Surface-enhanced Raman spectroscopy (SERS) system. And the spectrum data were analyzed using the Support Vector Machine (SVM) algorithm, one of the data mining technologies. Statistical analysis showed that two groups were distinguished effectively. This study provided a new research direction of the quick non-invasive testing for AIDS.
