Identifying correlations in electronic patient records

A new study demonstrates how text mining of electronic health records can be used to create medical term profiles of patients, which can be used both to identify co-occurrence of diseases and to cluster patients into groups with highly similar clinical features. The study, carried out in Denmark by a multi-disciplinary group of bioinformaticians, systems biologists and clinicians, will be published in the open-access journal PLoS Computational Biology on 25th August 2011.

Source:
http://beckyminx.livejournal.com/1234317.html