Table 5 The OR of the presistent abnormality (A2A) compared to sudden abnormal state (N2A) in male.
From: Machine learning-aided risk prediction for metabolic syndrome based on 3 years study
Features | Age 18–44 | Age 45–59 | Age \(\ge\) 60 | |||
|---|---|---|---|---|---|---|
N2A | A2A | N2A | A2A | N2A | A2A | |
TG_DSF | 4.661 | 9.092 | 2.810 | 5.174 | 2.501 | 3.654 |
WC_DSF | 3.498 | 5.827 | 2.235 | 3.017 | 1.954 | 2.815 |
BP_DSF | 1.807 | 2.632 | 1.403 | 2.065 | 1.512 | 1.932 |
BMI_DSF | 4.071 | 6.371 | \(\underline{\mathbf{3 .\mathbf{802} }}\) | \(\underline{3.664}\) | \(\underline{\mathbf{4 .\mathbf{006} }}\) | \(\underline{3.284}\) |
SBP_DSF | 1.675 | 2.581 | 1.484 | 2.027 | 1.457 | 1.930 |
FGLU_DSF | 2.591 | 5.319 | 2.592 | 3.051 | \(\underline{2.693}\) | \(\underline{1.996}\) |
FL_DSF | 3.319 | 6.034 | 2.507 | 4.338 | 3.209 | 3.260 |
HGB_DSF | 2.792 | 4.475 | 3.399 | 5.709 | 2.370 | 4.391 |
DBP_DSF | 2.348 | 3.663 | 1.513 | 2.195 | 1.240 | 1.871 |
