MODELING CARDIOVASCULAR RISK AND RISK FACTORS IN PATIENTS WITH CARDIOVASCULAR DISEASES

Authors

  • Z.D. Rasulova Central Consultative and Diagnostic Polyclinic No. 1 of the Main Medical Directorate under the Administration of the President of the Republic of Uzbekistan, Tashkent, Uzbekistan Author
  • D.K. Muhamediyeva Tashkent University of Information Technologies named after Muhammad al-Kharezmy Author
  • U.R. Shaykhova Central Consultative and Diagnostic Polyclinic No. 1 of the Main Medical Directorate under the Administration of the President of the Republic of Uzbekistan, Tashkent, Uzbekistan Author
  • M.D. Nuritdinova Central Consultative and Diagnostic Polyclinic No. 1 of the Main Medical Directorate under the Administration of the President of the Republic of Uzbekistan, Tashkent, Uzbekistan Author

Keywords:

Modeling, Cardiovascular risk, risk factors, prognostic models, clinical data, biomarkers.

Abstract

Cardiovascular diseases (CVDs) remain a pressing issue in most countries worldwide. Initially, cardiovascular and then other chronic non-communicable diseases became the leading cause of mortality in economically developed countries [2]. However, sufficient scientific knowledge has been accumulated to confirm the presence of factors that contribute to the development and progression of these diseases, known as risk factors (RFs) [5]. The contemporary evidence-based strategy for CVD prevention is the concept of risk factor stratification.

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Published

2023-07-18

How to Cite

MODELING CARDIOVASCULAR RISK AND RISK FACTORS IN PATIENTS WITH CARDIOVASCULAR DISEASES. (2023). Eurasian Journal of Medical and Natural Sciences, 3(7), 28-40. https://in-academy.uz/index.php/EJMNS/article/view/9692