中国全科医学
中國全科醫學
중국전과의학
Chinese General Practice
2015年
27期
3335-3338
,共4页
主成分分析%湿疹%效应机制
主成分分析%濕疹%效應機製
주성분분석%습진%효응궤제
Principal component analysis%Eczema%Effect mechanism
目的:研究湿疹各指标对于其效应机制的不同解释程度,将湿疹诸多效应指标降维,获得湿疹效应机制数学模型。方法回顾性分析杭州市第三人民医院皮肤科2013年3月—2014年2月诊断为湿疹的患者90例,选取湿疹发病过程中具有代表性的指标共19项〔白细胞计数(X1)、淋巴细胞分数(X2)、中性粒细胞分数(X3)、嗜酸粒细胞分数(X4)、嗜酸粒细胞绝对值(X5)、单核细胞绝对值(X6)、免疫球蛋白E(X7)、免疫球蛋白A(X8)、免疫球蛋白G(X9)、免疫球蛋白M(X10)、补体C3(X11)、补体C4(X12)、C反应蛋白(X13)、抗链球菌溶血素O ( X14)、红细胞沉降率( X15)、T淋巴细胞( X16)、B淋巴细胞( X17)、抑制性/细胞毒性T细胞( X18)、辅助性T细胞( X19)〕,采用SPSS 16.0统计学软件进行主成分分析和因子分析。结果根据分析结果,共提取6个主成分,累积贡献率为84.30%。基于主成分分析的湿疹效应机制数学模型为:F=37.69%F1+21.02%F2+17.10%F3+8.65%F4
目的:研究濕疹各指標對于其效應機製的不同解釋程度,將濕疹諸多效應指標降維,穫得濕疹效應機製數學模型。方法迴顧性分析杭州市第三人民醫院皮膚科2013年3月—2014年2月診斷為濕疹的患者90例,選取濕疹髮病過程中具有代錶性的指標共19項〔白細胞計數(X1)、淋巴細胞分數(X2)、中性粒細胞分數(X3)、嗜痠粒細胞分數(X4)、嗜痠粒細胞絕對值(X5)、單覈細胞絕對值(X6)、免疫毬蛋白E(X7)、免疫毬蛋白A(X8)、免疫毬蛋白G(X9)、免疫毬蛋白M(X10)、補體C3(X11)、補體C4(X12)、C反應蛋白(X13)、抗鏈毬菌溶血素O ( X14)、紅細胞沉降率( X15)、T淋巴細胞( X16)、B淋巴細胞( X17)、抑製性/細胞毒性T細胞( X18)、輔助性T細胞( X19)〕,採用SPSS 16.0統計學軟件進行主成分分析和因子分析。結果根據分析結果,共提取6箇主成分,纍積貢獻率為84.30%。基于主成分分析的濕疹效應機製數學模型為:F=37.69%F1+21.02%F2+17.10%F3+8.65%F4
목적:연구습진각지표대우기효응궤제적불동해석정도,장습진제다효응지표강유,획득습진효응궤제수학모형。방법회고성분석항주시제삼인민의원피부과2013년3월—2014년2월진단위습진적환자90례,선취습진발병과정중구유대표성적지표공19항〔백세포계수(X1)、림파세포분수(X2)、중성립세포분수(X3)、기산립세포분수(X4)、기산립세포절대치(X5)、단핵세포절대치(X6)、면역구단백E(X7)、면역구단백A(X8)、면역구단백G(X9)、면역구단백M(X10)、보체C3(X11)、보체C4(X12)、C반응단백(X13)、항련구균용혈소O ( X14)、홍세포침강솔( X15)、T림파세포( X16)、B림파세포( X17)、억제성/세포독성T세포( X18)、보조성T세포( X19)〕,채용SPSS 16.0통계학연건진행주성분분석화인자분석。결과근거분석결과,공제취6개주성분,루적공헌솔위84.30%。기우주성분분석적습진효응궤제수학모형위:F=37.69%F1+21.02%F2+17.10%F3+8.65%F4
Objective To investigate the roles of various indicators in the effect mechanism of eczema and to build the mathematic model of the effect mechanism of eczema by the dimensionality reduction of various indicators of eczema. Methods Conducted a respective analysis of the clinical data of 90 patients who were diagnosed with eczema in the Third People's Hospital of Hangzhou from March 2013 to February 2014. Selected 19 representative indicators,including white blood cell count( X1 ), lymphocyte score ( X2 ), neutrophile granulocyte score ( X3 ), eosinophilic granulocyte score ( X4 ), the absolute value of eosinophilic granulocyte( X5 ),the absolute value of monocyte( X6 ),immunoglobulin E( X7 ),immunoglobulin A( X8 ), immunoglobulin G( X9 ),immunoglobulin M( X10 ),complement C3 ( X11 ),complement C4 ( X12 ),C -reaction protein ( X13 ),antistreptolysin O ( X14 ), erythrocyte sedimentation rate ( X15 ), T Lymphocyte ( X16 ), B lymphocytes ( X17 ), inhibiting /cytotoxic T cells(X18),helper T cell(X19). The SPSS 16. 0 statistical software was employed to conduct principal component analysis and factor analysis. Results According to the results of the analyses,we extracted 6 principle components, with an accumulated variance contribution rate of 84. 30%. Based on the principle component analysis,we build the mathematic model of the effect mechanism of eczema, which was F =37. 69%F1 +21. 02%F2 +17. 10%F3 +8. 65%F4 +8. 48%F5+7. 07%F6 . Conclusion The application of principle component analysis could avoid the troublesome effort of statistics and analysis required by multi-index comprehensive assessment,reduce the number of variables,remove redundant information, and enable the model to better reflect real condition. It also makes the most use of laboratory data and important details closely relevant with the efficacy characteristics,improves the accuracy and reproducibility of laboratory results,and helps with the extraction of major effect mechanism of eczema.