Data aggregation and analysis: A grid-based approach for medicine and biology

Kyriazis, D; Tserpes, K; Kousiouris, G; Menychtas, A; Katsaros, G; Varvarigou, T

dc.contributor.author	Kyriazis, D	en
dc.contributor.author	Tserpes, K	en
dc.contributor.author	Kousiouris, G	en
dc.contributor.author	Menychtas, A	en
dc.contributor.author	Katsaros, G	en
dc.contributor.author	Varvarigou, T	en
dc.date.accessioned	2014-03-01T02:45:13Z
dc.date.available	2014-03-01T02:45:13Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32208
dc.subject	Cost Effectiveness	en
dc.subject	Data Aggregation	en
dc.subject	Data Analysis	en
dc.subject	Genetic Algorithm	en
dc.subject	Grid Computing	en
dc.subject	Historical Data	en
dc.subject.other	Distributed parameter networks	en
dc.subject.other	Application scenarios	en
dc.subject.other	Data aggregations	en
dc.subject.other	Grid environments	en
dc.subject.other	Grid technologies	en
dc.subject.other	Grid-based approaches	en
dc.subject.other	Historical datum	en
dc.subject.other	Medical informations	en
dc.subject.other	Personalized health cares	en
dc.subject.other	Applications	en
dc.title	Data aggregation and analysis: A grid-based approach for medicine and biology	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISPA.2008.34	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISPA.2008.34	en
heal.identifier.secondary	4725237	en
heal.publicationDate	2008	en
heal.abstract	A constantly increasing number of applications from various scientific sectors are finding their way towards adopting Grid technologies in order to take advantage of their capabilities: the advent of Grid environments made feasible the solution of computational intensive problems in a reliable and cost-effective way. In this paper we present a Grid-based approach for aggregation of data that are obtained from various sources (e.g. cameras, sensors) and their analysis with the use of genetic algorithms. By also taking into consideration general historical data and patient-specific medical information, we present the realization of the proposed approach with an application scenario for personalized healthcare and medicine. © 2008 IEEE.	en
heal.journalName	Proceedings of the 2008 International Symposium on Parallel and Distributed Processing with Applications, ISPA 2008	en
dc.identifier.doi	10.1109/ISPA.2008.34	en
dc.identifier.spage	841	en
dc.identifier.epage	848	en