Table 5 Effectiveness comparison of the proposed framework with existing blockchain-enabled learning models for COVID-19 diagnosis across Datasets 1, 2, and 3.

From: Blockchain enabled collective and combined deep learning framework for COVID19 diagnosis

 

Number of cases

Average accuracy performance (%)

Trust level

Sharing and retrieval

Dataset - 1

LSTM+blockchain14

Huge

95.14

Never

Never

Bi-LSTM+blockchain33

Huge

94.18

Never

Never

Blockchain-based federated learning38

Huge

91.74

Intermediate

Very Well

CLCD-Block (Proposed)

Huge

98.71

Huge

Very Well

Dataset - 2

LSTM+blockchain14

Very Huge

91.47

Never

Never

Bi-LSTM+blockchain33

Very Huge

90.97

Never

Never

Blockchain-based federated learning38

Very Huge

91.54

Intermediate

Very Well

CLCD-Block (Proposed)

Very Huge

97.29

Huge

Very Well

Dataset - 3

LSTM+blockchain14

Huge

90.25

Never

Never

Bi-LSTM+blockchain33

Huge

91.54

Never

Never

Blockchain-based federated learning38

Huge

91.25

Intermediate

Very Well

CLCD-Block (Proposed)

Huge

98.35

Huge

Very Well

Dataset - 4

LSTM+blockchain14

Very Huge

90.29

Never

Never

Bi-LSTM+blockchain33

Very Huge

92.56

Never

Never

Blockchain-based federated learning38

Very Huge

91.48

Intermediate

Very Well

CLCD-Block (Proposed)

Very Huge

97.92

Huge

Very Well