Research Article
Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19
Table 3
Types and descriptions of the examined models.
| | Model | Description |
| | Baseline | ConvNet#4: the best model proposed by Sekeroglu and Ozsahin in [6] | | Model 1 | The proposed CNN model | | Model 2a | The proposed TL model with VGG16 | | Model 2b | The proposed TL model with VGG19 | | Model 3a | The proposed hybrid model of CNN with ML where the features are extracted from the flatten layer | | Model 3b | The proposed hybrid model of CNN with ML where the features are extracted from the first hidden layer | | Model 4a | The proposed hybrid model of VGG16 with ML where the features are extracted from the flatten layer | | Model 4b | The proposed hybrid model of VGG16 with ML where the features are extracted from the first hidden layer |
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