University of Tasmania
Browse
- No file added yet -

Determination of dyslipidemia by discrete and pseudo-discrete features

Download (774.67 kB)
journal contribution
posted on 2023-05-19, 20:45 authored by Kiril Tenekedjiev, Protopopova, A, Mihova, J
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.

History

Publication title

Scripta Scientifica Medica

Volume

29

Pagination

63-70

ISSN

0582-3250

Department/School

Australian Maritime College

Publisher

Meditsinski Universitet "Profesor Doktor Paraskev Stoyanov"

Place of publication

Bulgaria

Rights statement

Copyright© Medical University, Varna

Repository Status

  • Open

Socio-economic Objectives

Expanding knowledge in the health sciences; Expanding knowledge in the information and computing sciences

Usage metrics

    University Of Tasmania

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC