A Classifier for Alzheimer's Disease Evaluation Based onMonologue Transcription Data
| Autor: | Yu-Yu Liu, 劉昱佑 |
|---|---|
| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 This research is about the AD (Alzheimer’s disease) detection. It is inspired by a former research in Japan, that they use a chatbot to keep elderlies company. The daily conversation is added with the MMSE questions to get the score of the elderly. This system improves the situation of short-term chasing in the elderly cares. Although we do not create a chatbot, a complete system of text analysis for the AD picture monologue data is built. A classifier of AD is implemented by using the subject’s picture monologue language data. Here come three main contributions as follows. The first one is the Chinese language data set are created by ourselves. The second one is we propose a new process of feature extraction, which consists of two main part, i.e., prior features and abstract features. Prior features consist of syntactic and semantic features by linguistic knowledge. Abstract features are acquired by using the deep neural network techniques, CNN and semantic pointer architecture, and training on an end-to-end model. The third one is making a visualization analysis on the features of AD and control normal to get the underlying knowledge. The multivariate analysis is also done and gets the correlation coefficients of each feature-pairs. The results have been compared with the former works and get a better performance. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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