Statistical Method Based on Confidence and Prediction Regions for Analysis of Volatile Organic Compounds in Human Breath Gas

被引：0
|
作者：
Wimmer, G., Jr. [1 ,2 ]
机构：
[1] Slovak Acad Sci, Inst Measurement Sci, Bratislava 84104, Slovakia
[2] Slovak Acad Sci, Inst Math, Bratislava 81473, Slovakia
来源：
MEASUREMENT SCIENCE REVIEW | 2008年 / 8卷 / 05期
关键词：
breath gas concentration; lung cancer detection; linear regression model; confidence interval; prediction interval;
D O I：
10.2478/v10048-008-0026-7
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
In this paper we introduce two confidence and two prediction regions for statistical characterization of concentration measurements of product ions in order to discriminate various groups of persons for prospective better detection of primary lung cancer. Two MATLAB algorithms have been created for more adequate description of concentration measurements of volatile organic compounds in human breath gas for potential detection of primary lung cancer and for evaluation of the appropriate confidence and prediction regions.
引用
收藏
页码：111 / 113
页数：3
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