Table 3.

Comparison prediction accuracy and stability across feature sets. Both accuracy and stability increases when clinical features are added to the 4D CNN.

Fold	4D image			4D & clinical
	AUC	TPR	TNR	AUC	TPR	TNR
0	0.61	0.71	0.45	0.77	0.71	0.73
1	0.78	0.79	0.68	0.85	0.71	0.76
2	0.71	0.93	0.23	0.83	0.86	0.64
3	0.82	0.71	0.77	0.67	1.00	0.00
4	0.37	1.00	0.00	0.58	0.29	0.87
5	0.65	0.64	0.59	0.62	0.71	0.55
6	0.82	1.00	0.00	0.8	0.83	0.61
7	0.62	0.38	0.64	0.54	0.62	0.41
8	0.75	0.62	0.82	0.8	0.92	0.48
9	0.55	0.46	0.55	0.56	0.54	0.52
mean	0.67	0.72	0.47	0.71	0.72	0.56
std	0.14	0.21	0.3	0.11	0.21	0.24