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Table 3 Confusion matrix for patients receiving diagnosis after stepwise application of cCOG, cognitive testing, MRI and CSF

From: Computerized decision support to optimally funnel patients through the diagnostic pathway for dementia

 

CN

AD

FTD

VaD

DLB

CN

141

4

12

1

3

AD

4

182

3

2

3

FTD

14

23

51

2

2

VaD

2

12

4

19

1

DLB

5

23

8

2

33

Cutoffs

> 0.6

> 0.6

> 0.6

> 0.6

> 0.6

Sensitivity

0.85

0.75

0.65

0.73

0.79

Specificity

0.93

0.95

0.90

0.96

0.91

Total accuracy

  

0.77

  
  1. In the confusion matrix each column represents the actual diagnosis and each column the diagnosis suggested by the classifier; the cells show the number of patients in each category
  2. Abbreviations: CN cognitively normal, AD Alzheimer’s disease, FTD Frontotemporal dementia, VaD vascular dementia, DLB dementia with Lewy bodies