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Treatment outcome prediction on ICH dataset (test)
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0.581
R_POL
BNN
0.49884
0.52017
0.5415
0.56283
Jul 24, 2023
R_POL
AUC (Class 0)
AUC (Class 1)
Accuracy (Class 0)
Accuracy (Class 1)
Updated 1mo ago
Evaluation Results
Method
Method
Links
R_POL
AUC (Class 0)
AUC (Class 1)
Accuracy (Class 0)
Accuracy (Class 1)
BNN
feature fusion=concate...
2023.07
0.581
0.77
0.724
72
72
DAFT
feature fusion=native...
2023.07
0.575
0.782
0.732
74
73.3
CFR-WASS
feature fusion=concate...
2023.07
0.568
0.792
0.743
74.7
72.7
SITE
feature fusion=concate...
2023.07
0.536
0.789
0.741
73.3
74
β-Intact-VAE
feature fusion=concate...
2023.07
0.533
0.797
0.774
77.3
75.3
TOP-GPM (Ours)
feature fusion=Product...
2023.07
0.502
0.82
0.801
79.3
78
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