Preliminary study on the quick detection of Acquired Immune Deficiency Syndrome by saliva analysis using surface enhanced Raman spectroscopic technique.
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.
Yan
Wang
W
Biomedical Engineering College of Capital University of Medical Sciences, Beijing, China 100069.
Lin
Hua
H
Jinghua
Liu
L
Dian
Qu
Q
Anyu
Chen
C
Yi
Jiao
J
Xun
Guo
G
Chunwei
Liu
L
Wen
Huang
H
Hong
Wang
W
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*
D015415:Biomarkers