Yordanova, Kristina (2019) Ontologies to Support Patients With Dementia. In: Reference Module in Biomedical Sciences. Elsevier. ISBN 978-0-12-801238-3.
Full text not available from this repository.Abstract
With the changing demographics toward aging population, also the number of people suffering from dementia increases. To allow the prolonged independent and socially active life of patients with dementia (PwD), some works propose the development of intelligent assistive systems that aim to support the PwD during their everyday activities. With the help of a structured knowledge base such systems are able to reason about the person's behavior, causes of deviations from normal behavior, and the appropriate intervention strategies. The knowledge base is usually modeled in the form of an ontology, allowing its reuse in other applications aiming to support the independent life of PwD. In this article, we describe how assistive systems use ontologies in order to support the PwD, and we present ontologies that contain domain-specific knowledge used by healthcare and monitoring systems for PwD. Furthermore, we discuss how these ontologies can be linked to other ontologies in order to extend functionality and applicability to different problems from the domain of dementia.
Item Type: | Book Section |
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Uncontrolled Keywords: | Alzheimer's disease, Assistance, Automatic patient support, Behavior recognition, Dementia, Intelligent systems, Intervention generation, Knowledge base, Ontology, Situation-awareness |
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