Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response

Table 3 Performance of the ovarian cancer prognostic model when truncated at 1 year, 2 years, and 3 years

	Discovery cohort			Validation cohort
	1 year	2 years	3 years	1 year	2 years	3 years
AUC	0.7597	0.7734	0.7461	0.6827	0.725	0.7087
AUC 95%CI	0.6252-0.8942	0.6908-0.8560	0.6789-0.8134	0.5114-0.8541	0.6128-0.8373	0.6126-0.8049
Specificity	0.7869	0.9481	0.9022	0.7451	0.7931	0.7895
Sensitivity	0.6667	0.58	0.5897	0.6364	0.6538	0.6216
Accuracy	0.7786	0.8779	0.8092	0.7345	0.7611	0.7345
NPV	0.9697	0.9054	0.8384	0.95	0.8846	0.8108
PPV	0.1875	0.725	0.7188	0.2121	0.4857	0.5897
P value, goodness of fit	0.6699	0.6304	0.4325	0.0826	0.1042	0.1084

AUC: Area under the receiver operating characteristic curve; CI: Confidence interval; NPV: ‎Negative predictive value; PPV: Positive predictive value.