Applied visual analytics for exploring the National Health and Nutrition Examination Survey

Silvia Oliveros Torres, Heather Eicher-Miller, Carol Boushey, David Ebert, Ross MacIejewski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

The National Health and Nutrition Examination Survey (NHANES) is a research program to assess the health and nutritional status of the population in the United States. In this work, we present a visual analytics system designed to help researchers explore patterns and form hypotheses within the NHANES dataset. The visualization component of the environment is an extension of traditional scatterplot matrices. Since the upper portion of the scatterplot matrix is a redundant encoding, we utilize this space, to show the projected N-dimensional clustering of points. The rows and columns of the matrix are automatically ordered using information about the cluster projection in each space as a means of showing the most meaningful dimensions. A comparison module has also been included that allows the user to compare groupings of people to the 2010 Dietary Guidelines for Americans. This tool enhances the analysis work by aiding discovery and hypothesis formation.

Original languageEnglish (US)
Title of host publicationProceedings of the 45th Annual Hawaii International Conference on System Sciences, HICSS-45
PublisherIEEE Computer Society
Pages1855-1863
Number of pages9
ISBN (Print)9780769545257
DOIs
StatePublished - Jan 1 2012
Externally publishedYes
Event2012 45th Hawaii International Conference on System Sciences, HICSS 2012 - Maui, HI, United States
Duration: Jan 4 2012Jan 7 2012

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Other

Other2012 45th Hawaii International Conference on System Sciences, HICSS 2012
CountryUnited States
CityMaui, HI
Period1/4/121/7/12

Keywords

  • Diet records
  • NHANES
  • Scatterplot
  • Visual analytics

ASJC Scopus subject areas

  • Engineering(all)

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