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Research Article

Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts

  • Francisco S. Roque equal contributor,

    equal contributor Contributed equally to this work with: Francisco S. Roque, Peter B. Jensen

    Affiliation: Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark

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  • Peter B. Jensen equal contributor,

    equal contributor Contributed equally to this work with: Francisco S. Roque, Peter B. Jensen

    Affiliation: NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark

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  • Henriette Schmock,

    Affiliation: Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark

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  • Marlene Dalgaard,

    Affiliation: Department of Growth and Reproduction GR, Rigshospitalet, Copenhagen, Denmark

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  • Massimo Andreatta,

    Affiliation: Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark

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  • Thomas Hansen,

    Affiliation: Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark

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  • Karen Søeby,

    Affiliation: Department of Clinical Biochemistry, Hvidovre Hospital, Copenhagen University Hospital, Hvidovre, Denmark

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  • Søren Bredkjær,

    Affiliations: Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark, Psychiatry Region Sealand, Ringsted, Denmark

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  • Anders Juul,

    Affiliation: Department of Growth and Reproduction GR, Rigshospitalet, Copenhagen, Denmark

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  • Thomas Werge,

    Affiliation: Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark

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  • Lars J. Jensen,

    Affiliation: NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark

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  • Søren Brunak mail

    brunak@cbs.dtu.dk

    Affiliations: Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark, NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark

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Reader Comments (2)

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Media Coverage for this Article

Posted by PLoS_CompBiol on 25 Oct 2011 at 15:54 GMT

The following article represents some of the media coverage that has occurred for this paper:

Publication: Science News
Title: Mining Electronic Records Yields Connections Between Diseases
URL: http://www.sciencenews.or...

If you see any additional coverage of this paper in the press or blogosphere, please reply to this thread and add the link to the article.

No competing interests declared.

RE: Media Coverage for this Article

PLoS_CompBiol replied to PLoS_CompBiol on 31 Oct 2011 at 10:40 GMT

Publication: Science 2.0
Title: Electronic Health Records Could Potentially Accelerate Systems Biology Research
URL: http://www.science20.com/...

No competing interests declared.