@inproceedings{b0303445b469482a8507494d4386136e,
title = "Supervised classification of geriatric anxiety",
abstract = "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.",
keywords = "Feature selection, GAI, Geriatric anxiety, Supervised classification",
author = "Sim, {Jae Kyeong} and Hyungtai Kim and Kim, {Geon Ha} and Choi, {Mun Taek}",
note = "Funding Information: This work was supported by the Technology Innovation Program (10063300) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea) Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; null ; Conference date: 20-02-2019 Through 23-02-2019",
year = "2019",
doi = "10.1145/3321454.3321457",
language = "English",
isbn = "9781450366335",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "73--77",
booktitle = "ACM International Conference Proceeding Series",
}