Supervised classification of geriatric anxiety

Jae Kyeong Sim, Hyungtai Kim, Geon Ha Kim, Mun Taek Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Number of pages5
ISBN (Print)9781450366335
StatePublished - 2019
Event4th International Conference on Intelligent Information Technology, ICIIT 2019 - Da Nang, Viet Nam
Duration: 20 Feb 201923 Feb 2019

Publication series

NameACM International Conference Proceeding Series
VolumePart F147957


Conference4th International Conference on Intelligent Information Technology, ICIIT 2019
Country/TerritoryViet Nam
CityDa Nang

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.


  • Feature selection
  • GAI
  • Geriatric anxiety
  • Supervised classification


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