Application of Machine Learning Techniques for Clinical Predictive Modeling: A Cross-Sectional Study on Nonalcoholic Fatty Liver Disease in China

Table 2

Risk factors associated with the presence of NAFLD.

Variables		SE	Wald	P value	OR (95 CI)
Age (year)	0.018	0.002	59.47	<0.001	1.018 (1.014-1.023)
Body mass index (kg/m^2)	0.367	0.012	690.14	<0.001	1.443 (1.409 – 1.478)
Glutamic-pyruvic transaminase (U/L)	0.044	0.004	154.629	<0.001	1.045(1.037-1.052)
Glutamic oxaloacetic transaminase (U/L)	-0.032	0.005	38.155	<0.001	0.969(0.959-0.978)
Alkaline phosphatase (U/L)	0.003	0.001	4.013	0.045	1.003(1.000-1.005)
γ-Glutamyltransferase (U/L)	0.003	0.001	12.842	<0.001	1.003(1.002-1.005)
Total bilirubin (μmol/L)	0.016	0.005	9.534	0.02	1.016(1.006-1.027)
Triglycerides (mmol/L)	0.400	0.036	125.433	<0.001	1.492(1.391-1.601)
HDL cholesterol (mmol/L)	-0.871	0.117	55.335	<0.001	0.419(0.333-0.527)
Fasting plasma glucose (mmol/L)	0.196	0.028	48.178	<0.001	1.217(1.151-1.286)
Serum uric acid (umol/L)	0.005	0.000	120.929	<0.001	1.005(1.004-1.006)

β: partial regression coefficient; SE: standard error of partial regression coefficient; OR: odds ratio; CI: confidence interval; HDL: high-density lipoprotein.