Semantically-enabled Intelligent Patient Recruitment in Clinical Trials

Andronikou, V; Karanastasis, E; Chondrogiannis, E; Tserpes, K; Varvarigou, T

dc.contributor.author	Andronikou, V	en
dc.contributor.author	Karanastasis, E	en
dc.contributor.author	Chondrogiannis, E	en
dc.contributor.author	Tserpes, K	en
dc.contributor.author	Varvarigou, T	en
dc.date.accessioned	2014-03-01T02:52:31Z
dc.date.available	2014-03-01T02:52:31Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35908
dc.subject	Clinical Research	en
dc.subject	Clinical Study	en
dc.subject	Clinical Trial	en
dc.subject	Design and Implementation	en
dc.subject	Design Process	en
dc.subject	Heterogeneous Data Sources	en
dc.subject	Semantic Interoperability	en
dc.subject	Service Oriented Architecture	en
dc.title	Semantically-enabled Intelligent Patient Recruitment in Clinical Trials	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/3PGCIC.2010.54	en
heal.identifier.secondary	http://dx.doi.org/10.1109/3PGCIC.2010.54	en
heal.publicationDate	2010	en
heal.abstract	This paper presents and analyzes the data requirements within the clinical trial design process with particular focus on the selection of patients who are eligible to participate in the specified clinical study. The latter comprises an extremely time-consuming process which requires considerable budget and effort, whereas the resulting recruited subjects determine both the success of the clinical study and the	en
heal.journalName	International Conference on P2P, Parallel, Grid, Cloud and Internet Computing	en
dc.identifier.doi	10.1109/3PGCIC.2010.54	en