Table 2.

The performance of the 3D and frontal plane neural networks in classifying whether changes in foot progression angle (FPA) increase or reduce the peak knee adduction moment (Figure 5). A reduction in peak KAM was considered a positive result. For example, sensitivity represents the number of cases that the neural network predicted as a reduction in the peak KAM divided by the number of cases that ID identified as a reduction in the peak KAM. Both models predict the effects of larger FPA modifications more accurately than small modifications.

	Accuracy	Sensitivity	Specificity	Precision
3D Neural Network
5° FPA modification	0.65	0.59	0.78	0.87
10° FPA modification	0.71	0.70	0.75	0.87
15° FPA modification	0.85	0.73	1.0	1.0
Frontal Plane Neural Network
5° FPA modification	0.58	0.68	0.33	0.71
10° FPA modification	0.79	0.90	0.50	0.80
15° FPA modification	0.80	1.0	0.73	0.73