Table 5.

Adult AML case distribution and classification accuracy




No. of cases

Accuracy, %
PML-RARα   4   100  
AML1-ETO  6   100  
CBFβ-MYH11  2   95 
MLL  6   95  
Other   2   NA  
Overall
 
20
 
90
 



No. of cases

Accuracy, %
PML-RARα   4   100  
AML1-ETO  6   100  
CBFβ-MYH11  2   95 
MLL  6   95  
Other   2   NA  
Overall
 
20
 
90
 

There were no FAB-M7 cases in the adult data set. No samples were mistakenly predicted as FAB-M7.

NA indicates not applicable.

The CBFβ-MYH11 data set contains one case that expresses both CBFβ-MYH11 and BCR-ABL, a combination described once before.45  The ANN supervised learning algorithm failed to classify this case as CBFβ-MYH11

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