Table 9 Diagnostic accuracy and prediction metrics.

From: Health-FedNet: secure federated learning for chronic disease prediction on MIMIC-III with differential privacy and homomorphic encryption

Model

Precision

Recall

F1-Score

AUC-ROC

Centralized model

0.78

0.75

0.76

0.80

Traditional FL model

0.83

0.81

0.82

0.85

Health-FedNet

0.92

0.90

0.91

0.94

  1. Significant values are in bold.
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