Comparative study of cardiovascular markers data by various techniques of multivariate analysis

被引:4
作者
Balla, B
Mocak, J [1 ]
Pivovarnikova, H
Balla, J
机构
[1] Slovak Univ Technol Bratislava, Dept Analyt Chem, SK-81237 Bratislava, Slovakia
[2] Jan Adam Reimans Hosp, SK-08001 Presov, Slovakia
关键词
cut-off value; contingency table; efficiency; ROC curves; principal component analysis; linear discriminant analysis; logistic regression;
D O I
10.1016/j.chemolab.2004.01.021
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Indication of cardiovascular risk is based on laboratory analysis of cardiovascular markers in blood. Assessment of diagnostic performance of traditionally used as well as new cardiovascular markers is the main goal of this paper. Performance of studied laboratory tests was evaluated by using the area below the corresponding receiver operating characteristic (ROC) curve. Application of an objective procedure for the determination of critical values of laboratory tests was based on maximum of efficiency. It was demonstrated that the patient's diagnosis can be verified or predicted not only by using the results of a chosen individual laboratory test but also by a multivariate statistical approach, which jointly utilizes all performed tests in the form of their optimal linear combination. An effective combination of original variables (laboratory tests) is provided either by principal component or discriminant function or logit-in case of logistic regression. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:259 / 267
页数:9
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