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Journal

2012 | 7 | 4 | 465-474

Article title

Statistical interpretation of medical data of patients with alcohol abuse

Content

Title variants

Languages of publication

EN

Abstracts

EN
An attempt is made to assess a set of biochemical, kinetic and anthropometric data for patients suffering from alcohol abuse (alcoholics) and healthy patients (non-alcoholics). The main goal is to identify the data set structure, finding groups of similarity among the clinical parameters or among the patients. Multivariate statistical methods (cluster analysis and principal components analysis) were used to assess the data collection. Several significant patterns of related parameters were found to be representative of the role of the liver function, kinetic and anthropometric indicators (conditionally named “liver function factor”, “ethanol metabolism factor”, “body weight factor”, and “acetaldehyde metabolic factor”). An effort is made to connect the role of kinetic parameters for acetaldehyde metabolism with biochemical, ethanol kinetic and anthropometric data in parallel.

Publisher

Journal

Year

Volume

7

Issue

4

Pages

465-474

Physical description

Dates

published
1 - 8 - 2012
online
24 - 5 - 2012

Contributors

  • Military Medical Academy, 1606, Sofia, Bulgaria
  • Laboratory of Environmental Physics, Georgi Nadjakov Institute of Solid State Physics, Bulgarian Academy of Sciences, Tzarigradsko Chaussee 72, 1784, Sofia, Bulgaria
  • Military Medical Academy, 1606, Sofia, Bulgaria
author
  • Chair of Analytical Chemistry, Faculty of Chemistry, University of Sofia “St. Kl. Okhridski”, J. Bourchier Blvd. 1, 1164, Sofia, Bulgaria
  • Chair of Analytical Chemistry, Faculty of Chemistry, University of Sofia “St. Kl. Okhridski”, J. Bourchier Blvd. 1, 1164, Sofia, Bulgaria
  • Chair of Analytical Chemistry, Faculty of Chemistry, University of Sofia “St. Kl. Okhridski”, J. Bourchier Blvd. 1, 1164, Sofia, Bulgaria
author
  • Military Medical Academy, 1606, Sofia, Bulgaria

References

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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.-psjd-doi-10_2478_s11536-012-0020-1
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