Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/270184
Title: | Classification of Hemodynamics Using a Diagnostic Nomogram and Ambulatory Blood Pressure Data |
Authors: | Voitikova, M. V. Khursa, R. V. |
Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика |
Issue Date: | 2020 |
Publisher: | Minsk : Education and Upbringing |
Citation: | Nonlinear Phenomena in Complex Systems. - 2020. - Vol. 23, N 3. - P. 291-298 |
Abstract: | This article provides a detailed overview of the hemodynamic nomogram, a new diagnostic tool in hemodynamics based on the linear regression modeling of ambulatory blood pressure monitoring data (ABPM) and the Support Vector Machine (SVM) classifier. We investigated the classification capability and practical usage of the diagnostic nomogram, as well as cardiovascular phenomena described and limitations of linear modeling.One of the practical applications of the nomogram is the ability to retrace changes in ABPM parameters due to antihypertensive therapy. Misclassifications are explained by nonlinear properties of the hemodynamics of diastolic type. |
URI: | https://elib.bsu.by/handle/123456789/270184 |
ISSN: | 1561-4085 |
DOI: | 10.33581/1561-4085-2020-23-3-291-298 |
Licence: | info:eu-repo/semantics/restrictedAccess |
Appears in Collections: | 2020. Volume 23. Number 3 |
Files in This Item:
File | Description | Size | Format | |
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v23no3p291.pdf | 526,19 kB | Adobe PDF | View/Open |
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