INDIV-3D. A new model for INdividual data integration and visualisation using spatial coordinates

Guillermo Lopez-Campos*, Riccardo Bellazzi, Fernando Martin-Sanchez

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This work describes a new three-dimensional model for the integration and visualization of comprehensive individual health-related information. The model could be used to represent longitudinal datasets corresponding to any kind of biomedical data (genome, phenome, exposome) relative to a single individual or to populations. Analogously with geographical information systems this model includes different layers at each time point, which are associated with different sets of biomedical data. Each data element represented in this model receives two angular and one linear (temporal) coordinates. This new model could be able to represent virtually any kind of biomedical data including those captured in real-time such as self-monitoring activities or other exposome-related information.

Original languageEnglish
Title of host publicationInformatics, Management and Technology in Healthcare
PublisherIOS Press
Pages172-174
Number of pages3
Volume190
ISBN (Print)9781614992752
DOIs
Publication statusPublished - 01 Jan 2013
Externally publishedYes
EventInternational Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2013 - Athens, Greece
Duration: 05 Jul 201307 Jul 2013

Conference

ConferenceInternational Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2013
CountryGreece
CityAthens
Period05/07/201307/07/2013

Keywords

  • data representation
  • exposome
  • modeling
  • Spatial information systems

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Lopez-Campos, G., Bellazzi, R., & Martin-Sanchez, F. (2013). INDIV-3D. A new model for INdividual data integration and visualisation using spatial coordinates. In Informatics, Management and Technology in Healthcare (Vol. 190, pp. 172-174). IOS Press. https://doi.org/10.3233/978-1-61499-276-9-172