DocumentCode
605264
Title
Utilising Semantic Technologies for Decision Support in Dementia Care
Author
Osman, Taha ; Rmaswamy, S. ; Mahmoud, S. ; Saeed, Maryam
Author_Institution
Sch. of Sci. & Technol., CIB, Nottingham, UK
fYear
2013
fDate
10-12 April 2013
Firstpage
628
Lastpage
633
Abstract
The main objective of this work is to discuss our experience in utilising semantic technologies for building decision support in Dementia care systems that are based on the non-intrusive on the non-intrusive monitoring of the patient´s behaviour. Our approach adopts context-aware modelling of the patient´s condition to facilitate the analysis of the patient´s behaviour within the inhabited environment (movement and room occupancy patterns, use of equipment, etc.) with reference to the semantic knowledge about the patient´s condition (history of present of illness, dependable behaviour patterns, etc.). The reported work especially focuses on the critical role of the semantic reasoning engine in inferring medical advice, and by means of practical experimentation and critical analysis suggests important findings related to the methodology of deploying the appropriate semantic rules systems, and the dynamics of the efficient utilisation of complex event processing technology in order to the meet the requirements of decision support for remote healthcare systems.
Keywords
diseases; geriatrics; health care; inference mechanisms; patient monitoring; ubiquitous computing; complex event processing technology; context-aware modelling; decision support; dementia care; healthcare system; nonintrusive monitoring; patient behaviour; semantic knowledge; semantic reasoning engine; semantic rules system; semantic technology; Cognition; Dementia; Monitoring; Ontologies; Semantics; Context Awareness; Decision Support; Dementia; Knowledge Inference; Remote Healthcare; Semantic Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location
Cambridge
Print_ISBN
978-1-4673-6421-8
Type
conf
DOI
10.1109/UKSim.2013.110
Filename
6527491
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