Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data

Table 2

Summary of SSI classification results for basic lasso model (BLM), full lasso model (FLM), price penalized model (PPM), and XGBoost predictive model.

Model	CRP	BLM	BLM ()	FLM	FLM ()	PPM	PPM ()	XGBoost
Nr. features	4.4	35.6	12.3	32.6	28.4	25.2	12.1
	[4.2, 4.6]	[33.1, 38.2]	[11.8, 12.9]	[30.2, 35.0]	[27.1, 29.6]	[22.9, 27.5]	[11.7, 12.6]
AUC	0.797	0.947	0.943	0.954	0.956	0.952	0.951	0.954
	[0.788, 0.806]	[0.944, 0.951]	[0.940, 0.947]	[0.951, 0.958]	[0.953, 0.959]	[0.948, 0.955]	[0.948, 0.954]	[0.951, 0.957]
AUPRC	0.550	0.809	0.810	0.819	0.821	0.813	0.817	0.829
	[0.532, 0.568]	[0.798,0.821]	[0.799,0.822]	[0.807, 0.830]	[0.810, 0.832]	[0.801,0.824]	[0.805–0.828]	[0.818, 0.839]
Threshold	0.204	0.188	0.179	0.221	0.216	0.191	0.171	0.245
	[0.201–0.207]	[0.183–0.193]	[0.176–0.182]	[0.216–0.226]	[0.211–0.220]	[0.186–0.196]	[0.167–0.175]	[0.237–0.252]
Sensitivity	0.699	0.858	0.856	0.856	0.860	0.868	0.874	0.836
	[0.683, 0.715]	[0.846, 0.870]	[0.844, 0.868]	[0.845, 0.867]	[0.848, 0.871]	[0.857, 0.879]	[0.864, 0.885]	[0.824, 0.847]
Specificity	0.799	0.895	0.885	0.902	0.901	0.888	0.876	0.919
	[0.791, 0.808]	[0.891, 0.900]	[0.879, 0.891]	[0.896, 0.907]	[0.895, 0.906]	[0.882, 0.894]	[0.869, 0.882]	[0.915, 0.924]
PPV	0.469	0.673	0.654	0.688	0.687	0.663	0.641	0.724
	[0.454, 0.483]	[0.661, 0.684]	[0.640, 0.667]	[0.673, 0.703]	[0.673, 0.701]	[0.647, 0.678]	[0.628, 0.655]	[0.710, 0.739]
NPV	0.914	0.962	0.961	0.962	0.962	0.964	0.966	0.957
	[0.910, 0.919]	[0.958, 0.965]	[0.958, 0.964]	[0.958, 0.965]	[0.959, 0.966]	[0.961, 0.967]	[0.963, 0.969]	[0.954, 0.960]