Disease universe: Visualisation of population-wide disease-wide associations
Quantitative Methods
2015-05-14 v1
Abstract
We apply a force-directed spring embedding graph layout approach to electronic health records in order to visualise population-wide associations between 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 between disorders and identify novel never noticed association patterns.
Keywords
Cite
@article{arxiv.1308.2557,
title = {Disease universe: Visualisation of population-wide disease-wide associations},
author = {Max Moldovan and Ruslan Enikeev and Shabbir Syed-Abdul and Alex Nguyen and Yo-Cheng Chang and Yu-Chuan Li},
journal= {arXiv preprint arXiv:1308.2557},
year = {2015}
}
Comments
4 pages (2 pics) the main paper + 8 pages (3 pics) Supplementary Materials