INTEGRATION OF LABORATORY DATA IN PREDICTING THE EPIDEMIOLOGY OF DIABETES

Yodgorova Feruza Ibrohim kizi

Authors

Yodgorova Feruza Ibrohim kizi Fergana Medical Institute of Public Health Department of “Epidemiology and Infectious Diseases, Nursing”

Keywords:

diabetes mellitus, epidemiology, laboratory diagnostics, biomarkers, HbA1c, prognosis, risk stratification.

Abstract

Diabetes mellitus is one of the most pressing global public health challenges, with its prevalence steadily increasing worldwide. Early detection, assessment of disease risk, and population-level prediction are essential for developing effective preventive strategies. The aim of this study is to evaluate the role of integrating laboratory data in predicting the epidemiology of diabetes mellitus. The results demonstrate that the comprehensive analysis of biomarkers such as glucose, HbA1c, insulin, lipid profile, C-reactive protein, and other indicators enables high-accuracy prediction of diabetes risk. An integrated laboratory model contributes to improving both individual and population-level risk stratification.

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