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Pattern recognition methods in evaluation of the structure of the laboratory data biominerals, antioxidant enzymes, selected biochemical parameters, and pulmonary function of welders

Stepniewski, M; Kolarzyk, E; Zagrodzki, P; Solarska, K; Pietrzycka, A; Kitlinski, Mariusz LU ; Schlegel-Zawadzka, M and Batko, B (2003) In Biological Trace Element Research 93(1-3). p.39-46
Abstract
A wide set of biochemical and spirometrical parameters was applied to a group of 41 welders. The obtained parameters were analyzed by the pattern recognition method: principal-components analysis (PCA) and mutual contribution analysis (MCA). The aim of the investigation was to find out which of 23 parameters had an influence on the pulmonological indices of COPD. It was found that PCA gave a substantial reduction of dimensionality. The most relevant parameters were Fe, Zn, Cu (all elements in blood, not in hair), FEV1, MEF50, bilirubin, TAS, and SOD. Only the relationships of MEF50, Cu, and TAS were statistically valid.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Principal-components analysis (PCA), (MCA), mutual contribution analysis, copper, zinc, iron, magnesium, blood serum, hair, total, welders, antioxidant status (TAS), chronic obstructive pulmonary disease (COPD)
in
Biological Trace Element Research
volume
93
issue
1-3
pages
39 - 46
publisher
Humana Press
external identifiers
  • wos:000184082600005
  • pmid:12835488
  • scopus:0042668315
ISSN
1559-0720
DOI
10.1385/BTER:93:1-3:39
language
English
LU publication?
yes
id
1005decc-924b-4db8-af70-009bc6859492 (old id 900187)
date added to LUP
2008-01-16 09:39:44
date last changed
2018-05-29 11:28:25
@article{1005decc-924b-4db8-af70-009bc6859492,
  abstract     = {A wide set of biochemical and spirometrical parameters was applied to a group of 41 welders. The obtained parameters were analyzed by the pattern recognition method: principal-components analysis (PCA) and mutual contribution analysis (MCA). The aim of the investigation was to find out which of 23 parameters had an influence on the pulmonological indices of COPD. It was found that PCA gave a substantial reduction of dimensionality. The most relevant parameters were Fe, Zn, Cu (all elements in blood, not in hair), FEV1, MEF50, bilirubin, TAS, and SOD. Only the relationships of MEF50, Cu, and TAS were statistically valid.},
  author       = {Stepniewski, M and Kolarzyk, E and Zagrodzki, P and Solarska, K and Pietrzycka, A and Kitlinski, Mariusz and Schlegel-Zawadzka, M and Batko, B},
  issn         = {1559-0720},
  keyword      = {Principal-components analysis (PCA),(MCA),mutual contribution analysis,copper,zinc,iron,magnesium,blood serum,hair,total,welders,antioxidant status (TAS),chronic obstructive pulmonary disease (COPD)},
  language     = {eng},
  number       = {1-3},
  pages        = {39--46},
  publisher    = {Humana Press},
  series       = {Biological Trace Element Research},
  title        = {Pattern recognition methods in evaluation of the structure of the laboratory data biominerals, antioxidant enzymes, selected biochemical parameters, and pulmonary function of welders},
  url          = {http://dx.doi.org/10.1385/BTER:93:1-3:39},
  volume       = {93},
  year         = {2003},
}