Жанубий оролбўйи тиббиёт журнали 1-jild 4-son (2025) · 547-552-betlar

COMPARATIVE ANALYSIS OF PREDICTION MODELS FOR DIABETES BASED ON ANTHROPOMETRIC INDICATORS

Mukhamedova, Vazira

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Annotatsiya

The prevalence of type 2 diabetes mellitus (T2DM) continues to increase worldwide, emphasizing the need for early detection tools that are accurate, accessible, and cost-effective. Anthropometric indicators—such as body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body fat percentage—are widely used predictors of metabolic risk. Numerous statistical and machine learning models have been developed to forecast diabetes risk using these indicators. This study provides a comparative analysis of traditional regression-based models and modern machine learning algorithms to determine their predictive performance using anthropometric data.

diabetes predictionanthropometryBMIwaist circumferencemachine learning

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.

Iqtibos olish

APA 7 
Mukhamedova, Vazira (2025). COMPARATIVE ANALYSIS OF PREDICTION MODELS FOR DIABETES BASED ON ANTHROPOMETRIC INDICATORS. Жанубий оролбўйи тиббиёт журнали, 1(4), 547-552.
GOST R 7.0.5 
Mukhamedova, Vazira COMPARATIVE ANALYSIS OF PREDICTION MODELS FOR DIABETES BASED ON ANTHROPOMETRIC INDICATORS // Жанубий оролбўйи тиббиёт журнали. 2025. Т. 1. № 4. С. 547-552.
BibTeX 
@article{vazira2025,
  author  = {Mukhamedova, Vazira},
  title   = {COMPARATIVE ANALYSIS OF PREDICTION MODELS FOR DIABETES BASED ON ANTHROPOMETRIC INDICATORS},
  journal = {Жанубий оролбўйи тиббиёт журнали},
  year    = {2025},
  volume  = {1},
  number  = {4},
  pages   = {547-552}
}
RIS 
TY  - JOUR
AU  - Mukhamedova, Vazira
TI  - COMPARATIVE ANALYSIS OF PREDICTION MODELS FOR DIABETES BASED ON ANTHROPOMETRIC INDICATORS
JO  - Жанубий оролбўйи тиббиёт журнали
PY  - 2025
VL  - 1
IS  - 4
SP  - 547
EP  - 552
ER  -