Analysis of Hierarchical Multi-Content Text Classification Model on B-SHARP Dataset for Early Detection of Alzheimer’s Disease (2020.aacl-main)
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| Challenge: | Existing studies on the detection of Alzheimer's disease focus on the diagnosis of dementia instead. |
| Approach: | They propose to use a dataset to develop NLP models for the detection of Mild Cognitive Impairment (MCI) MCI is a progressive neurodegenerative disorder associated with memory loss and declines in major brain functions including semantic and pragmatic levels of language processing. |
| Outcome: | The proposed model performs best on 74.1% of the 3 topics studied. |
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