Anxiety is a common symptom in elderly people and is associated with dementia. In this study, we apply the machine learning methods to classify anxiety patients based on GAI. We confirm the possibility of reducing the number of GAI questionnaires, which is to make GAI testing easier for the elderly. As a result, we showed that classification is possible without using all standard GAI questionnaires.
|Title of host publication||ACM International Conference Proceeding Series|
|Publisher||Association for Computing Machinery|
|Number of pages||5|
|State||Published - 2019|
|Event||4th International Conference on Intelligent Information Technology, ICIIT 2019 - Da Nang, Viet Nam|
Duration: 20 Feb 2019 → 23 Feb 2019
|Name||ACM International Conference Proceeding Series|
|Conference||4th International Conference on Intelligent Information Technology, ICIIT 2019|
|Period||20/02/19 → 23/02/19|
Bibliographical noteFunding Information:
This work was supported by the Technology Innovation Program (10063300) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea)
© 2019 Association for Computing Machinery.
- Feature selection
- Geriatric anxiety
- Supervised classification