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Preliminary Study on the Quick Detection of Acquired Immure Deficiency Syndrome by Saliva Analysis using Surface Enhanced Raman Spectroscopic technique

机译:用表面增强拉曼光谱技术通过唾液分析快速检测术后缺乏综合征的快速检测

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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.
机译:表面增强拉曼光谱(SERS)系统检测45例艾滋病患者和55个唾液样品的唾液样本。使用支持向量机(SVM)算法,其中一个数据挖掘技术进行分析频谱数据。统计分析表明,两组有效地分辨。本研究为艾滋病的快速无侵入性测试提供了新的研究方向。

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