Cervical cancer survival prediction by machine learning algorithms: a systematic review

BMC Cancer

Table 5 Classification of the used evaluation criteria into types of survival from the lowest to the highest

Evaluation method	OS		DFS		PFS
Evaluation method	Min	Max	Min	Max	Min	Max
AUC	0.40	0.99	0.56	0.88	0.67	0.81
C-index	0.39	0.94	0.41	0.89	0.69	0.79
Sensitivity	0.75	0.97	0.20	0.93	-	-
Specificity	0.0	0.60	0.93	0.93	-	-
Precision	-	-	0.33	91.14	76.5	80.1
Accuracy	0.61	0.89	0.84	0.92	0.73	0.84
F1-score	-	-	0.22	0.92	-	-
Mean Absolute Error	21.18	39.2	11.24	12.43	28.8	29.3

Table 5 description: All of the articles that employed the selected criteria were split according to the kind of survival, and the minimum and maximum rates for each criterion were then shown

ISSN: 1471-2407