Subpopulation Discovery and Validation in Epidemiological Data
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2017Author
Preim, Bernhard 
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Motivated 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.
BibTeX
@inproceedings {10.2312:eurova.20171118,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {Michael Sedlmair and Christian Tominski},
title = {{Subpopulation Discovery and Validation in Epidemiological Data}},
author = {Alemzadeh, Shiva and Hielscher, Tommy and Niemann, Uli and Cibulski, Lena and Ittermann, Till and Völzke, Henry and Spiliopoulou, Myra and Preim, Bernhard},
year = {2017},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-042-0},
DOI = {10.2312/eurova.20171118}
}
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {Michael Sedlmair and Christian Tominski},
title = {{Subpopulation Discovery and Validation in Epidemiological Data}},
author = {Alemzadeh, Shiva and Hielscher, Tommy and Niemann, Uli and Cibulski, Lena and Ittermann, Till and Völzke, Henry and Spiliopoulou, Myra and Preim, Bernhard},
year = {2017},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-042-0},
DOI = {10.2312/eurova.20171118}
}
URI
http://dx.doi.org/10.2312/eurova.20171118https://diglib.eg.org:443/handle/10.2312/eurova20171118