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

研究成果: 雜誌貢獻文章

4 引文 (Scopus)

摘要

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.

原文英語
頁(從 - 到)144-158
頁數15
期刊Advances in Systems Science and Applications
14
發行號2
出版狀態已發佈 - 2014

指紋

Visualization
Health

ASJC Scopus subject areas

  • General
  • Engineering(all)

引用此文

Disease universe : Visualisation of population-wide disease-wide associations. / Moldovan, Max; Enikeev, Ruslan; Syed-Abdul, Shabbir; Nguyen, Phung Anh; Chang, Yo-Cheng; Li, Yu Chuan.

於: Advances in Systems Science and Applications, 卷 14, 編號 2, 2014, p. 144-158.

研究成果: 雜誌貢獻文章

Moldovan, Max ; Enikeev, Ruslan ; Syed-Abdul, Shabbir ; Nguyen, Phung Anh ; Chang, Yo-Cheng ; Li, Yu Chuan. / Disease universe : Visualisation of population-wide disease-wide associations. 於: Advances in Systems Science and Applications. 2014 ; 卷 14, 編號 2. 頁 144-158.
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