检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:林倩钰 白新 吴翔[2] 许清江 李涛[2] 俞允[3] 林居强 Qianyu Lin;Xin Bai;Xiang Wu;Qingliang Xu;Tao Li;Yun Yu;Juqiang Lin(Key Laboratory of OptoElectronic Science and Technology for Medicine,Ministry of Education,Fujian Provincial Key Laboratory for Photonics Technology,Fujian Normal University,Fuzhou,Fujian,350007;Department of Urology,Fujian Provincial Hospital,Fuzhou,Fujian,350013;Provincial Clinical Medical College of Fujian Medical University,Fuzhou,Fujian,350001;School of opto-electronic and Communication Engineering,Xiamen University of Technology,Xiamen,Fujian,361024)
机构地区:[1]福建师范大学光电与信息工程学院激光与光电子技术研究所,光子技术福建省重点实验室,医学光电科学与技术教育部重点实验室,福建福州350007 [2]福建省立医院泌尿外科,福建福州350013 [3]福建中医药大学临床医学院,福建福州350001 [4]厦门理工学院光电与通信工程学院,福建厦门361024
出 处:《福光技术》2022年第1期45-49,共5页FUJIAN OPTICAL TECHNOLOGY
摘 要:近年来,肾结石的发病率逐渐升高,严重影响了患者的生活质量。因此,有必要开发一种强大的肾结石患者筛查技术。本文采用表面增强拉曼散射(SERS)技术对24例肾结石患者尿液和16例正常志愿者尿液进行检测,并成功记录了其光谱。同时分析两组SERS光谱的差谱,表明两组尿液在SERS光谱上存在细微但不可忽略的差异。利用主成分分析(PCA)算法考察两组SERS光谱中多个变量的相关性从而降维,并结合线性判别分析(LDA)算法区分正常人尿液样本和肾结石患者尿液样本,结果表明灵敏度和特异性分别为88%和81%。最后,计算受试者工作特征(ROC)曲线的面积为0.94,进一步证明了基于PCA-LDA诊断算法的有效性.In recent years,the incidence rate of renal calculi has gradually increased,which has a significant impact on the quality of life of patients.Therefore,it is necessary to develop a powerful technique for analysis.In this paper,we used a method of surface enhanced Raman scatting(SERS)to detect the 24 renal-calculi patients'urine and 16 normal human urine,and successfully recorded their spectra.Simultaneous analysis of the difference spectrum of the two sets of SERS spectra shows that there are subtle but not negligible differences in the SERS spectra of the two sets of urine.And use the principal component analysis(PCA)algorithm to investigate the correlation of multiple variables in the two sets of SERS spectra,thereby reducing the dimensionality,combined with the linear discriminant analysis(LDA)algorithm to differentiate normal samples and patients'samples,the sensitivity and specificity are 88%and 81%,respectively.Finally,the area under the receiver operating characteristic(ROC)curve is 0.94,which further proves the validity of based on the PCA-LDA diagnostic algorithm.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222