Optimizing the Prognostic Model of Cervical Cancer Based on Artificial Intelligence Algorithm and Data Mining Technology

Table 4

Different stratification analyzed on the Kaplan–Meier and ROC.

Stratified factor	Group	Cases; (%)	Kaplan–Meier; value	AUC (95% CI)
Age at initial diagnosis	<50	177 (59.20%)	1.38-05	0.717 (0.622-0.81)
	≥50	122 (40.80%)	2.37-04	0.67 (0.555-0.785)
FIGO stage	I-IIA2	182 (60.88%)	1.89-05	0.693 (0.601-0.785)
	IIB-IV	110 (36.79%)	1.93-04	0.676 (0.556-0.799)
Histological type	SCC	247 (82.61%)	1.76-08	0.697 (0.615-0.779)
	Adenocarcinoma	46 (15.38%)	3.68-03	0.674 (0.417-0.878)
Histologic grade	G2	131 (43.81%)	2.88-04	0.627 (0.515-0.738)
	G3	120 (40.13%)	13.33-05	0.762 (0.636-0.888)

95% CI: 95% confidence interval; SCC: squamous cell carcinoma.