Strategy
|
Dataset S
1
|
Dataset S
2
|
Dataset S
3
|
---|
Non-imaging
|
0.774 ± 0.043
|
0.511 ± 0.078
|
0.771 ± 0.009
|
Imaging
|
0.885 ± 0.034
|
0.503 ± 0.076
|
0.564 ± 0.036
|
DFS-DD
|
0.905 ± 0.035
|
0.496 ± 0.079
|
0.752 ± 0.026
|
DFS-EC
|
0.675 ± 0.065a
|
0.465 ± 0.111
|
0.720 ± 0.020
|
DFS-KC
|
0.888 ± 0.040
|
0.808 ± 0.067
b
|
0.857 ± 0.009
b
|
DFS-ES
|
0.789 ± 0.035
|
0.531 ± 0.086
|
0.748 ± 0.013
|
- For baseline performance comparison, AUC values for the individual data modalities are also reported
-
aindicates that the result was statistically significantly worse than comparative strategies
-
bindicates that the result was statistically significantly better than comparative strategies
- The best performing data fusion strategy for each classification task is highlighted in bold