2019年7月1日
対照群付き高齢者コーパスの構築とそれを用いた認知症予備軍スクリーニング技術の開発
人工知能学会論文誌
- ,
- ,
- ,
- 巻
- 34
- 号
- 4
- 開始ページ
- B
- 終了ページ
- J11_1
- 記述言語
- 日本語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1527/tjsai.b-j11
- 出版者・発行元
- 一般社団法人 人工知能学会
<p>We construct an elderly corpus with a control group (EC) comprising narratives of elderly people with Mild Cognitive Impairment (MCI), healthy elderly people, and younger people in order to develop a method to classify the elderly into healthy and MCI by analyzing the corpus. To do so, we carry out three tasks (picture description task: PDT, episode picture description task: EDT, and animation description task: ADT) to participants (n = 80) and their voices to the tasks are recorded and manually transcribed. 60 out of the participants are the elderly and classified into MCI and healthy control based on Mini Mental State Examination (MMSE). Then, language features such as Type Token Ratio and Idea Density are extracted by analyzing the elderly people's data and machine learning models are built with the extracted features. In the experiments, our classification model using combined language features obtained from all tasks' data achieved the highest performance (AUC = 0.85). The results indicate that it would be important to carry out multiple tasks to detect the elderly with MCI.</p>
- リンク情報
- ID情報
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- DOI : 10.1527/tjsai.b-j11
- ISSN : 1346-0714
- eISSN : 1346-8030
- CiNii Articles ID : 130007672273