Papers with Alzheimers disease
Enriching Neural Models with Targeted Features for Dementia Detection (P19-2)
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| Challenge: | In the United States, adults over 65 are expected to comprise one-fifth of the population by 2030, and a larger proportion of the . population than those under 18 by 2035. |
| Approach: | They propose a neural model that takes into account both long language samples and hand-crafted linguistic features to distinguish between dementia affected and healthy patients. |
| Outcome: | The proposed model achieves an F1 score of 0.929 on the DementiaBank dataset and the state-of-the-art on the dataset. |