Comparison of LASSO and random forest models for predicting the risk of premature coronary artery disease

Table 2 Logistic regression analysis of risk predictors of morbidity in patients with PCAD

Intercept and variables	Estimate	SE	Waldχ²	Prediction model		Confidence interval(2.5%)	Confidence interval(97.5%)
Intercept and variables	Estimate	SE	Waldχ²	P-value	Odds ratio	Confidence interval(2.5%)	Confidence interval(97.5%)
Intercept	-2.72	0.22	157.44	< 0.001	0.07	0.04	0.09
Hhcy	0.86	0.27	10.46	< 0.001	2.35	1.40	3.97
HUA	1.58	0.34	21.35	< 0.001	4.85	2.50	9.57
CKD	2.62	0.37	49.10	< 0.001	13.70	6.73	29.26
CAA	2.46	0.25	96.18	< 0.001	11.70	7.24	19.38

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