Table 4 Evaluation of the proposed method against various metrics to measure it classification and privacy preserving ability.

From: A privacy-preserving expert system for collaborative medical diagnosis across multiple institutions using federated learning

Metric

Dermatology32

HCV33

Diabetes Risk34

Accuracy (%)

94.5

91.2

90.8

Precision (%)

95.0

92.0

91.0

Recall (%)

94.0

90.5

90.2

F-Measure (%)

94.5

91.2

90.6

TP

150

135

132

TN

140

130

128

FP

10

15

14

FN

15

20

22

TPR

0.91

0.87

0.86

FPR

0.07

0.10

0.09

Communication

Overhead (%)

5

6

6.5

False-Positive Rates

0.07

0.10

0.09

Reduction in Privacy

Violations Over Time (%)

25

30

28

FTE Requirements (hours)

10

12

12

Case Resolution Times (min)

5

7

7