Mobile data mining for intelligent healthcare support
2009 (English)In: 2009 42nd Hawaii International Conference on System Sciences: HICSS ; Waikoloa, Hawaii, 5 - 8 January 2009, IEEE Communications Society, 2009, 1-10 p.Conference paper (Refereed)
The growth in numbers and capacity of mobile devices such as mobile phones coupled with widespread availability of inexpensive range of biosensors presents an unprecedented opportunity for mobile healthcare applications. In this paper we propose a novel approach for Situation-Aware Adaptive Processing (SAAP) of data streams for smart and real-time analysis of data. The implementation and evaluation of the framework for a health monitoring application is described.
Place, publisher, year, edition, pages
IEEE Communications Society, 2009. 1-10 p.
, Proceedings of the Annual Hawaii International Conference on System Sciences, ISSN 1530-1605
IdentifiersURN: urn:nbn:se:ltu:diva-35905DOI: 10.1109/HICSS.2009.824Local ID: aa2d1080-ddb6-11de-bae5-000ea68e967bISBN: 978-0-7695-3450-3 (PDF)OAI: oai:DiVA.org:ltu-35905DiVA: diva2:1009159
Hawaii International Conference on System Sciences : 05/01/2009 - 08/01/2009
Upprättat; 2009; 20091130 (arkady)2016-09-302016-09-30