Show simple item record

dc.contributor.authorAlemzadeh, Shivaen_US
dc.contributor.authorHielscher, Tommyen_US
dc.contributor.authorNiemann, Ulien_US
dc.contributor.authorCibulski, Lenaen_US
dc.contributor.authorIttermann, Tillen_US
dc.contributor.authorVölzke, Henryen_US
dc.contributor.authorSpiliopoulou, Myraen_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.editorMichael Sedlmair and Christian Tominskien_US
dc.date.accessioned2017-06-12T05:16:27Z
dc.date.available2017-06-12T05:16:27Z
dc.date.issued2017
dc.identifier.isbn978-3-03868-042-0
dc.identifier.urihttp://dx.doi.org/10.2312/eurova.20171118
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20171118
dc.description.abstractMotivated by identifying subpopulations that share common characteristics (e.g. alcohol consumption) to explain risk factors of diseases in cohort study data, we used subspace clustering to discover such subpopulations. In this paper, we describe our interactive coordinated multiple view system Visual Analytics framework S-ADVIsED for SubpopulAtion Discovery and Validation In Epidemiological Data. S-ADVIsED enables epidemiologists to explore and validate findings derived from subspace clustering. We investigated the replication of a selected subpopulation in an independent population.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.titleSubpopulation Discovery and Validation in Epidemiological Dataen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.description.sectionheadersApplications
dc.identifier.doi10.2312/eurova.20171118
dc.identifier.pages43-47


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record