Table 10.
Comparative study.
| Description | Type of dataset | Implemented algorithm | Prediction accuracy | Reference |
|---|---|---|---|---|
| COVID-19 prediction | X-ray image | LSTM | 96% | [37] |
| RNN | 93% | |||
| COVID-19 prediction | X-ray image | LSTM-RNN | 86% | [38] |
| COVID-19 prediction | X-ray image | LSTM-GRU | 87% (for Confirmed case) | [39] |
| 67.8% (for Negative cases) | ||||
| 62% (for Deceased cases) | ||||
| 40.5% (for Released case) | ||||
| COVID-19 prediction | X-ray image | LSTM | 90% | [40] |
| COVID-19 prediction | X-ray image | MTU-COVNet | 97.7% | [41] |
| COVID-19 prediction | X-ray image | Res-CovNet | 96.2% | [42] |
| AD-COVID-19 Mortality | Binary dataset | AD-CovNet | 97.0% | Present study |