Table 4.
Comparison with baseline models.
| Reference | Approach | Accuracy | Dataset |
|---|---|---|---|
| 7 | Bidirectional Encoder Representations from Transformers (BERT) model | 89.9% | Dementia Bank Database |
| 11 | Gated Convolutional Neural Networks (GCNN). | 80.8% | Dementia Bank Database |
| 14 | Ensemble Technique | 86.5% | Dementia Bank Database |
| 17 | Stacked Deep Dense Neural Network. | 93.31% | Dementia Bank Database |
| 20 | SVM | 77% | Dementia Bank Database |
| 24 | BERT Model | 90.36% | Dementia Bank Database |
| 28 | PRCNN (Parallel Recurrent CNN), RF, Random Tree, REP Tree, SVM, and ANN | 85%, 87.6,77.4,82.6,80.3,81.5 | Dementia Bank Database |
| Our Approach | Multimodal Siamese Networks | 99% | Dementia Bank Database |