MODELING OF CARDIOVASCULAR RISK AND RISK FACTORS IN PATIENTS WITH CARDIOVASCULAR DISEASES

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Published: 2023-08-05
DOI: https://doi.org/10.66073/researchfocus.v2i7.421
Keywords:
Modeling, Cardiovascular risk, risk factors, prognostic models, clinical data, biomarkers

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Rasulova Z.D.
Central Consultative and Diagnostic Polyclinic No. 1 of the Main Medical Administration under the Administration of the President of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Shayxova U.R.
Central Consultative and Diagnostic Polyclinic No. 1 of the Main Medical Administration under the Administration of the President of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Nuritdinova M.D.
Central Consultative and Diagnostic Polyclinic No. 1 of the Main Medical Administration under the Administration of the President of the Republic of Uzbekistan, Tashkent, Uzbekistan.
Muxamediyeva D.K.
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

Abstract

Cardiovascular diseases (CVD) remain a pressing problem in most countries of the world. First cardiovascular, and then other chronic non-communicable diseases became the leading cause of mortality of the population of economically developed countries [2]. At the same time, sufficient scientific knowledge has been accumulated to date to state the presence of factors that contribute to the development and progression of these diseases, the so-called risk factors (RF) [5]. The modern evidence-based strategy for the prevention of CVD is the concept of risk factor stratification.

Article Details

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Vol. 2 No. 7 (2023): Research Focus International Scientific Journal. Volume 2, Issue 7 (2023)

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Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

MODELING OF CARDIOVASCULAR RISK AND RISK FACTORS IN PATIENTS WITH CARDIOVASCULAR DISEASES. (2023). Research Focus International Scientific Journal, 2(7), 70-81. https://doi.org/10.66073/researchfocus.v2i7.421

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