Pattern recognition methods in evaluation of the structure of the laboratory data biominerals, antioxidant enzymes, selected biochemical parameters, and pulmonary function of welders
(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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/900187
- author
- Stepniewski, M ; Kolarzyk, E ; Zagrodzki, P ; Solarska, K ; Pietrzycka, A ; Kitlinski, Mariusz LU ; Schlegel-Zawadzka, M and Batko, B
- organization
- publishing date
- 2003
- 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
- 2016-04-01 11:56:27
- date last changed
- 2022-01-26 20:27:19
@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}}, 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)}}, 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}}, doi = {{10.1385/BTER:93:1-3:39}}, volume = {{93}}, year = {{2003}}, }