ROBUST MULTIVARIATE METHODS IN LABORATORY TECHNIQUES AND IN ASSISTING MEDICAL DIAGNOSIS

被引:2
|
作者
KRUSINSKA, E
LIEBHART, J
机构
[1] Institute of Computer Science, University of Wrocław, Przesmyckiego, 20
[2] Department of Internal Diseases, Medical Academy of Wrocław, Traugutta, 57
来源
MEDICAL INFORMATICS | 1990年 / 15卷 / 02期
关键词
Estimation of total lung capacity; Medical diagnosis; Multivariate statistics; Robust methods;
D O I
10.3109/14639239008997665
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The usefulness of robust multivariate methods in medical applications, for example, the indirect estimation of total lung capacity by robust regression and the assistance of medical diagnosis in obstructive airways disease using robust discriminant functions, is discussed. The results of robust methods that consist in downweighting the influence of the multivariate outliers are compared with the outcomes of classical procedures. The advantages of modern robust algorithms are proved in the present study. It is planned to include the methods in the system for the computerized consulting unit for respiratory diseases that is being set up in Wroclaw. © 1990 Informa UK Ltd All rights reserved: reproduction in whole or part not permitted.
引用
收藏
页码:133 / 139
页数:7
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