Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning

Table 2 The proposed prediction model for 30-d risk of venous thromboembolism in patients undergoing Roux-en-Y gastric bypass

Variables	Regression coefficient	Standard error	t value	P value	95% confidence interval (lower)	95% confidence interval (upper)
Preoperative COPD	2.54	0.49	5.15	0	1.57	3.51
Length of stay	0.08	0.01	6.24	0	0.06	0.11
Deep vein thrombosis history	1.62	0.67	2.42	0.02	0.31	2.92
Hemoglobin A1c level	1.19	0.34	3.47	0	0.52	1.86
History of venous stasis	1.44	0.53	2.7	0.01	0.4	2.48
Preoperative anticoagulation use	1.24	0.63	1.97	0.05	0.01	2.48
Model constant	-5.77	0.28	-20.61	0	-6.32	-5.22

COPD: Chronic obstructive pulmonary disease.