主成分分析用于肺癌患者血清自体荧光光谱特征参数的提取  

Extraction of characteristic parameters of serum fluorescence spectrum in patients with lung canc- er by principal component analysis

作　　者：王子玲[1] 刘新[1] 吴拥军[2] 

机构地区：[1]河南省胸科医院内六科,郑州450003 [2]郑州大学公共卫生学院

出　　处：《中国实用医刊》2012年第15期1-3,共3页Chinese Journal of Practical Medicine

摘　　要：目的对肺癌患者、肺良性疾病及正常者血清自体荧光光谱进行特征提取。方法采用主成分分析法提取有效的信息。结果荧光光谱的前3个主成分可以代表整个荧光光谱信息量的98．01％。结论通过主成分分析--y^x提取有效的信息，提高了应用全光谱识别肺癌的效率。Objective To extract the characteristic parameters from serum fluorescence spectrum in patients with lung cancer, benign lung disease and normal controls. Methods Principal component a- nalysis was applied to extract the effective characteristic information. Results The three principal char- acteristic value of fluorescence spectrum were extracted, and accounted for 98.01%. Conclusions Effective characteristic information can be extracted by principal component analysis, and can improve the discriminant efficiency for lung cancer.

关 键 词：主成分分析 肺癌患者 血清自体荧光光谱 特征提取 

分 类 号：O65[理学—分析化学] R734[理学—化学]