Table 5 Correlation matrix for biochemical, demographic, and clinical parameters of prediabetes.
From: Artificial intelligence model as a tool to predict prediabetes
Parameters | TAS | Age | BMI | Waist circumference |
|---|---|---|---|---|
Mean Age | −0.0101 | |||
BMI (kg/m2) | −0.0566 | −0.006 | ||
Waist circumference (cm) | −0.1718 | 0.2028* | 0.4226* | |
HbA1c (%) | 0.0335 | 0.1501 | −0.0228 | 0.073 |
FBG (mmol/L) | −0.1744 | 0.186 | 0.2063* | 0.2335* |
OGTT (mmol/L) | 0.0876 | 0.1251 | 0.1402 | 0.0048 |
TGL (mg/dL) | 0.0143 | −0.0144 | −0.1484 | −0.2135 |
HDL (mg/dL) | 0.1475 | 0.0508 | −0.2575 | −0.1752 |
LDL (mg/dL) | −0.0288 | 0.1176 | −0.0439 | 0.0677 |
VLDL (mg/dL) | 0.0388 | −0.0052 | −0.1627 | −0.2218 |
Cholesterol (mg/dL) | 0.0651 | 0.0793 | −0.1077 | −0.1 |
