Table 4 Summary of clarke’s error grid analysis (CEGA) performance for different model types.

From: A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetes

Model

TCH study data

Ohio T1DM

Zone: A + B (TP & TN)

Zone: C (FP)

Zone: D + E (FN)

Zone: A + B (TP & TN)

Zone: C (FP)

Zone: D + E (FN)

Central

99.36\(\:\pm\:\)13.22

0.13\(\:\pm\:\)0.14

0.51 \(\:\pm\:\)0.32

99.56\(\:\pm\:\)8.25

0.06\(\:\pm\:\)0.05

0.38\(\:\pm\:\)0.19

Local

98.51\(\:\pm\:\)19.12

0.31\(\:\pm\:\)0.33

1.18\(\:\pm\:\)0.77

99.19\(\:\pm\:\)11.09

0.10\(\:\pm\:\)0.06

0.72\(\:\pm\:\)0.25

Federated (FedGlu)

99.12\(\:\pm\:\)16.15

0.15\(\:\pm\:\)0.15

0.74\(\:\pm\:\)0.40

99.42\(\:\pm\:\)7.34

0.08\(\:\pm\:\)0.06

0.50 \(\:\pm\:\)0.32