Enabling risk assessment and analysis by event detection in dementia patients using a reconfigurable rule set

Xefteris, S; Androulidakis, A; Haritou, M; Baboshin, A; Glickman, Y; D'Andria, F; Tserpes, K; Varvarigou, T

dc.contributor.author	Xefteris, S	en
dc.contributor.author	Androulidakis, A	en
dc.contributor.author	Haritou, M	en
dc.contributor.author	Baboshin, A	en
dc.contributor.author	Glickman, Y	en
dc.contributor.author	D'Andria, F	en
dc.contributor.author	Tserpes, K	en
dc.contributor.author	Varvarigou, T	en
dc.date.accessioned	2014-03-01T02:53:15Z
dc.date.available	2014-03-01T02:53:15Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36196
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84858066272&partnerID=40&md5=ee45dc0494da43f010dcf658fb451dee	en
dc.subject	Assisted living	en
dc.subject	Cognitive states	en
dc.subject	Dementia	en
dc.subject	E-health and assistive infrastructures	en
dc.subject	Non-obtrusive monitoring	en
dc.subject	Quality of life	en
dc.subject	Risk analysis	en
dc.subject.other	Assisted living	en
dc.subject.other	Cognitive states	en
dc.subject.other	Dementia	en
dc.subject.other	Ehealth	en
dc.subject.other	Quality of life	en
dc.subject.other	Health	en
dc.subject.other	Home health care	en
dc.subject.other	Neurodegenerative diseases	en
dc.subject.other	Risk analysis	en
dc.subject.other	Risk assessment	en
dc.subject.other	Quality control	en
dc.title	Enabling risk assessment and analysis by event detection in dementia patients using a reconfigurable rule set	en
heal.type	conferenceItem	en
heal.identifier.secondary	47	en
heal.publicationDate	2011	en
heal.abstract	Chronic mental illnesses pose a great burden on the lives of citizens worldwide. In modern health-care, decentralization and enabling the self management of patients at home are crucial factors in improving the every-day lives of patients and the people close to them. People in general tend to dislike obtrusive monitoring on their daily activities, so how can we implement a platform that can provide clinicians with adequate and concise information on their patients health status and at the same time be unobtrusive and easy to use. Moreover, how can we make such an unobtrusive system capable of providing the doctor with highimpact warnings on the patient's health status only when it is needed, thus relieving him of unnecessary workload? In this paper, the authors present a reconfigurable Event Detection mechanism used in the ALADDIN platform for Risk Assessment and Analysis. © 2011 ACM.	en
heal.journalName	ACM International Conference Proceeding Series	en