Utility of a deep learning model and a clinical model for predicting bleeding after endoscopic submucosal dissection in patients with early gastric cancer

Table 3 Utility of deep learning model and clinical model

	Deep learning model	Clinical model	P value
Sensitivity (%)	64.3 (45.8–84.1)	69.6 (54.2–80.8)
Specificity (%)	74.0 (50.6–89.2)	71.0 (68.5–79.5)
PPV (%)	11.4 (7.4–18.1)	11.1 (8.0–15.4)
NPV (%)	97.5 (96.4–98.7)	97.8 (96.6–98.7)
AUC (95%CI)	0.71 (0.63–0.78)	0.70 (0.62–0.77)	0.730

One thousand times for bootstrapping were conducted to measure 95% confidence intervals. P value for statistical significance between area under the curves was derived from Delong’s test. AUC: Area under the curve; CI: Confidence interval; NPV: Negative predictive value; PPV: Positive predictive value.