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.
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