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Supervised Classification of Geriatric Anxiety

Published: 20 February 2019 Publication History

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.

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    ICIIT '19: Proceedings of the 2019 4th International Conference on Intelligent Information Technology
    February 2019
    124 pages
    ISBN:9781450366335
    DOI:10.1145/3321454
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • USM: Universiti Sains Malaysia

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    New York, NY, United States

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    Published: 20 February 2019

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    Author Tags

    1. Feature Selection
    2. GAI
    3. Geriatric Anxiety
    4. Supervised Classification

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