文章基本信息

标题：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
本地全文：下载
作者：柴田大作 ; 伊藤薫 ; 若宮翔子等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2019
卷号：34
期号：4
页码：1-9
DOI：10.1527/tjsai.B-J11
语种：Japanese
出版社：The Japanese Society for Artificial Intelligence
摘要：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.
关键词：natural language processing;dementia;corpus;Alzheimer’s disease;screening