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The usefulness of artificial neural networks in the evaluation of pulmonary efficiency and antioxidant capacity of welders

Kolarzyk, Emilia ; Stepniewski, Marek ; Mendyk, Aleksander ; Kitlinski, Mariusz LU and Pietrzycka, Agata (2006) In International Journal of Hygiene and Environmental Health 209(4). p.385-392
Abstract
Objective: The aim of the study was to determine if artificial neural networks (ANNs) may be useful to analyse a complex and large set of data derived from smoking welders for the purpose of finding relationships between parameters describing respiratory system efficiency and antioxidant defence. Methods: A group of 94 welders employed in a big metallurgic enterprise in Krakow, Poland (men only, aged 29-57 years, all active smokers) occupationally exposed to 03 and NO,, were the subjects of this study. They underwent biochemical measurements including total antioxidant status (TAS) and the anti-oxidative defence enzymes superoxide dismutase (SOD) and catalase (CT); biominerals: Fe, Cu, Zn, Mg in blood serum and in hair; the concentrations... (More)
Objective: The aim of the study was to determine if artificial neural networks (ANNs) may be useful to analyse a complex and large set of data derived from smoking welders for the purpose of finding relationships between parameters describing respiratory system efficiency and antioxidant defence. Methods: A group of 94 welders employed in a big metallurgic enterprise in Krakow, Poland (men only, aged 29-57 years, all active smokers) occupationally exposed to 03 and NO,, were the subjects of this study. They underwent biochemical measurements including total antioxidant status (TAS) and the anti-oxidative defence enzymes superoxide dismutase (SOD) and catalase (CT); biominerals: Fe, Cu, Zn, Mg in blood serum and in hair; the concentrations of albumin, bilirubin, uric acid in blood. The determination of respiratory efficiency was based on a "flow-volume" curve and spirometry. The dependant variables for ANNs were: TAS, SOD, CT. Thirty-one subjects with normal values of all spirometric parameters were selected for the final analysis. Results: Statistically valid relationship between TAS and albumin, Zn and Cu in blood and the two pulmonary parameters forced expiratory volume after I s (FEV1) and middle expiratory flow of 25-75% of vital capacity (MEF25/75) were found. Zn concentration almost linearly influenced TAS. For Cu a sigmoid curve was obtained. For albumin concentration as well as for FEV1 a two-stage curve was observed. Conclusions: ANNs are useful for the reduction of dimensionality and are suited to analyse a complex and relatively large set of parameters when it is unknown which of these are related. ANNs were useful for finding the relationship between the antioxidant defence and the respiratory system capacity in welders who smoke. (c) 2006 Elsevier GmbH. All rights reserved. (Less)
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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
biominerals, antioxidant status, total, respiratory tract, welders, reduction of dimensionality, neural network implementation, nitric, oxides, ozone
in
International Journal of Hygiene and Environmental Health
volume
209
issue
4
pages
385 - 392
publisher
Elsevier
external identifiers
  • wos:000239339800010
  • scopus:33745247791
ISSN
1618-131X
DOI
10.1016/j.ijheh.2006.03.004
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Cardiology (013242100), Emergency medicine/Medicine/Surgery (013240200)
id
5d32e5bb-1bf2-4e5d-a4c6-5b6a7526b331 (old id 399514)
date added to LUP
2016-04-01 16:51:47
date last changed
2020-01-12 19:48:56
@article{5d32e5bb-1bf2-4e5d-a4c6-5b6a7526b331,
  abstract     = {Objective: The aim of the study was to determine if artificial neural networks (ANNs) may be useful to analyse a complex and large set of data derived from smoking welders for the purpose of finding relationships between parameters describing respiratory system efficiency and antioxidant defence. Methods: A group of 94 welders employed in a big metallurgic enterprise in Krakow, Poland (men only, aged 29-57 years, all active smokers) occupationally exposed to 03 and NO,, were the subjects of this study. They underwent biochemical measurements including total antioxidant status (TAS) and the anti-oxidative defence enzymes superoxide dismutase (SOD) and catalase (CT); biominerals: Fe, Cu, Zn, Mg in blood serum and in hair; the concentrations of albumin, bilirubin, uric acid in blood. The determination of respiratory efficiency was based on a "flow-volume" curve and spirometry. The dependant variables for ANNs were: TAS, SOD, CT. Thirty-one subjects with normal values of all spirometric parameters were selected for the final analysis. Results: Statistically valid relationship between TAS and albumin, Zn and Cu in blood and the two pulmonary parameters forced expiratory volume after I s (FEV1) and middle expiratory flow of 25-75% of vital capacity (MEF25/75) were found. Zn concentration almost linearly influenced TAS. For Cu a sigmoid curve was obtained. For albumin concentration as well as for FEV1 a two-stage curve was observed. Conclusions: ANNs are useful for the reduction of dimensionality and are suited to analyse a complex and relatively large set of parameters when it is unknown which of these are related. ANNs were useful for finding the relationship between the antioxidant defence and the respiratory system capacity in welders who smoke. (c) 2006 Elsevier GmbH. All rights reserved.},
  author       = {Kolarzyk, Emilia and Stepniewski, Marek and Mendyk, Aleksander and Kitlinski, Mariusz and Pietrzycka, Agata},
  issn         = {1618-131X},
  language     = {eng},
  number       = {4},
  pages        = {385--392},
  publisher    = {Elsevier},
  series       = {International Journal of Hygiene and Environmental Health},
  title        = {The usefulness of artificial neural networks in the evaluation of pulmonary efficiency and antioxidant capacity of welders},
  url          = {http://dx.doi.org/10.1016/j.ijheh.2006.03.004},
  doi          = {10.1016/j.ijheh.2006.03.004},
  volume       = {209},
  year         = {2006},
}