title: Preliminary study on the quick detection of Acquired Immune Deficiency Syndrome by saliva analysis using surface enhanced Raman spectroscopic technique.
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.
authors: Biomedical Engineering College of Capital University of Medical Sciences, Beijing, China 100069.
authors: Wang
authors: W
authors: Yan
authors: Hua
authors: H
authors: Lin
authors: Liu
authors: L
authors: Jinghua
authors: Qu
authors: Q
authors: Dian
authors: Chen
authors: C
authors: Anyu
authors: Jiao
authors: J
authors: Yi
authors: Guo
authors: G
authors: Xun
authors: Liu
authors: L
authors: Chunwei
authors: Huang
authors: H
authors: Wen
authors: Wang
authors: W
authors: Hong
mesh_terms: D000163:Acquired Immunodeficiency Syndrome / Q000175:diagnosis* / Q000378:metabolism; D000465:Algorithms; D001185:Artificial Intelligence; D015415:Biomarkers / Q000032:analysis*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods; D010865:Pilot Projects; D015203:Reproducibility of Results; D012463:Saliva / Q000378:metabolism*; D012680:Sensitivity and Specificity; D013059:Spectrum Analysis, Raman / Q000379:methods*
chemical_list: D015415:Biomarkers