Disease universe: Visualisation of population-wide disease-wide associations

Max Moldovan, Ruslan Enikeev, Shabbir Syed-Abdul, Phung Anh Nguyen, Yo Cheng Chang, Yu Chuan Li

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Over a lifespan, a human organism is affected by multiple disorders of different origin and severity. We apply a force-directed spring embedding graph layout approach to electronic health records in order to visualise population-wide associations among human disorders as presented in an individual biological organism. The introduced visualisation is implemented on the basis of the Google maps platform and can be found at http://disease-map.net. We argue that the suggested method of visualisation can both validate already known specifics of associations among disorders and identify novel, never noticed association patterns.

LanguageEnglish
Pages144-158
Number of pages15
JournalAdvances in Systems Science and Applications
Volume14
Issue number2
Publication statusPublished - 1 Jan 2014

Keywords

  • Electronic health records
  • Graph layout
  • Phonemics
  • Systems biology
  • Visualisation

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Moldovan, M., Enikeev, R., Syed-Abdul, S., Nguyen, P. A., Chang, Y. C., & Li, Y. C. (2014). Disease universe: Visualisation of population-wide disease-wide associations. Advances in Systems Science and Applications, 14(2), 144-158.