Paper
7 August 2017 Medical expert system for assessment of coronary heart disease destabilization based on the analysis of the level of soluble vascular adhesion molecules
Valentina K. Serkova, Sergey V. Pavlov, Valentina A. Romanava, Yuriy I. Monastyrskiy, Sergey M. Ziepko, Nanaliya V. Kuzminova, Waldemar Wójcik, Róża Dzierżak, Aliya Kalizhanova, Gulzhan Kashaganova
Author Affiliations +
Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104453O (2017) https://doi.org/10.1117/12.2280984
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland
Abstract
Theoretical and practical substantiation of the possibility of the using the level of soluble vascular adhesion molecules (sVCAM) is performed. Expert system for the assessment of coronary heart disease (CHD) destabilization on the base of the analysis of soluble vascular adhesion molecules level is developed. Correlation between the increase of VCAM level and C-reactive protein (CRP) in patients with different variants of CHD progression is established. Association of chronic nonspecific vascular inflammation activation and CHD destabilization is shown. The expedience of parallel determination of sVCAM and CRP levels for diagnostics of CHD destabilization and forecast elaboration is noted.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Valentina K. Serkova, Sergey V. Pavlov, Valentina A. Romanava, Yuriy I. Monastyrskiy, Sergey M. Ziepko, Nanaliya V. Kuzminova, Waldemar Wójcik, Róża Dzierżak, Aliya Kalizhanova, and Gulzhan Kashaganova "Medical expert system for assessment of coronary heart disease destabilization based on the analysis of the level of soluble vascular adhesion molecules", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104453O (7 August 2017); https://doi.org/10.1117/12.2280984
Lens.org Logo
CITATIONS
Cited by 11 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Molecules

Heart

Blood

Inflammation

Fuzzy logic

Proteins

Data processing

Back to Top