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Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
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Using Retinal Imaging to Study Dementia
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Ontology-based Dementia Care Support System.

Hwawoo Jeon, Sungkee Park, Jongsuk Choi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |November 17, 2018
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    Summary

    This study introduces an ontology-based system to aid dementia care. The system supports caregivers by providing tailored guides for dementia patient symptoms and daily situations.

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    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Gerontology

    Background:

    • Dementia care requires specialized knowledge for effective support.
    • Existing care systems may lack comprehensive, situation-specific guidance for dementia patients.
    • Caregivers often need accessible tools to manage diverse patient needs and daily challenges.

    Purpose of the Study:

    • To design and develop an ontology-based knowledge system for dementia care.
    • To create a system that supports caregivers in providing appropriate care guides.
    • To address the complexities of dementia patient care in home or facility settings.

    Main Methods:

    • Developed an ontology describing dementia patients, symptoms, environments, and daily situations.
    • Designed an overall system architecture to support caregivers.
    • Tested system feasibility using a robot platform and a knowledge-sharing system.

    Main Results:

    • The proposed system effectively integrates knowledge about dementia patients and their care needs.
    • Feasibility was demonstrated through two distinct prototypal applications.
    • The system architecture is designed to provide distinct care guides for various patient symptoms.

    Conclusions:

    • Ontology-based knowledge systems can significantly enhance dementia care support.
    • The developed system offers a feasible approach to assist caregivers with tailored guidance.
    • This technology has the potential to improve the quality of life for dementia patients and their caregivers.