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We apply a force-directed spring embedding graph layout approach toelectronic health records in order to visualise population-wide associationsbetween human disorders as presented in an individual biological organism. Theintroduced visualisation is implemented on the basis of the Google mapsplatform and can be found at http://disease-map.net . We argue that thesuggested method of visualisation can both validate already known specifics ofassociations between disorders and identify novel never noticed associationpatterns.

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