From: An explainable CNN approach for medical codes prediction from clinical text
Model
AUC
F1
P@5
Macro
Micro
C-MemNN [11]
0.833
–
0.42
Shi et al. [13]
-
0.900
0.532
CAML [12]
0.875
0.909
0.614
0.609
Logistic regression
0.828
0.862
0.477
0.530
0.545
SWAM-CAML
0.900*
0.924*
0.593
0.648
0.625*
SWAM-textCNN
0.892
0.919
0.603*
0.652*
0.620
