Neural Networks for Survival Prediction in Medicine Using Prognostic Factors: A Review and Critical Appraisal

Table 3

The performance measures used for model validation across the 24 studies.

Performance criterion	N (%)
C-index	7 (29.2%)
AUC	5 (20.8%)
Log-likelihood	3 (12.5%)
Accuracy	2 (8.3%)
Global Chi-squared statistic of Cox regression	2 (8.3%)
Brier score	1 (4.2%)
Comparison of predicted probabilities with Kaplan-Meier	1 (4.2%)
Integrated brier score (IBS)	1 (4.2%)
Mean absolute error (MAE)	1 (4.2%)
McNemar’s test	1 (4.2%)
Mean squared error (MSE)	1 (4.2%)
Prognostic risk group discrimination	1 (4.2%)
Sensitivity	1 (4.2%)
Separation of cases into good and bad prognosis	1 (4.2%)
Specificity	1 (4.2%)
Survival curves comparison with log-rank test	1 (4.2%)
Time-dependent C-index ()	1 (4.2%)
Wilcoxon test (separation of cases into good and bad prognosis)	1 (4.2%)