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 |