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Determination of dyslipidemia by discrete and pseudo-discrete features
Citation
Tenekedjiev, K and Protopopova, A and Mihova, J, Determination of dyslipidemia by discrete and pseudo-discrete features, Scripta Scientifica Medica, 29 pp. 63-70. ISSN 0582-3250 (1996) [Refereed Article]
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Copyright Statement
Copyright© Medical University, Varna
Official URL: http://journals.mu-varna.bg/index.php/ssm/article/...
DOI: doi:10.14748/ssm.v29i0.2974
Abstract
The necessity of controlling the lipid state of the organism originates from the association of dyslipidemia with atherosclerosis, heart diseases, diabetes mellitus, etc. In the clinical practice, the determination of the exact type of dyslipidemia is not straightforward due to certain problems: daily biological fluctuations, dietary effects, strong overlapping in characteristic plasma lipid levels in some classes of type llb, III and IV, frequent inavailability of a complete set of diagnostic measurements, as well as certain overlapping in the borderline values. These provide the objective to create a computer program for diagnostics* of dyslipidemia in 16 classes. The apparatus of Bayes classification has been applied using 13 discrete and 7 pseudo-discrete features. The proposed system is suitable for monitoring the treatment of dyslipidemia as well as for the purposes of students' education and post doctoral training.
Item Details
Item Type: | Refereed Article |
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Keywords: | dislipidemia |
Research Division: | Information and Computing Sciences |
Research Group: | Computer vision and multimedia computation |
Research Field: | Pattern recognition |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the information and computing sciences |
UTAS Author: | Tenekedjiev, K (Professor Kiril Tenekedjiev) |
ID Code: | 127979 |
Year Published: | 1996 |
Deposited By: | Governance Office |
Deposited On: | 2018-08-26 |
Last Modified: | 2018-10-17 |
Downloads: | 28 View Download Statistics |
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