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

Francisco S. Roque; Peter B. Jensen; Henriette Schmock; Marlene Dalgaard; Massimo Andreatta; Thomas Hansen; Karen Søeby; Søren Bredkjær; Anders Juul; Thomas Werge; Lars J. Jensen; Søren Brunak

doi:10.1371/journal.pcbi.1002141

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Open Access

Peer-reviewed

Research Article

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

Francisco S. Roque ,

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
⨯
Peter B. Jensen ,

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

Affiliation NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
⨯
Henriette Schmock,

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

Affiliation Department of Growth and Reproduction GR, Rigshospitalet, Copenhagen, Denmark
⨯
Massimo Andreatta,

Affiliation Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark
⨯
Thomas Hansen,

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

Affiliation Department of Clinical Biochemistry, Hvidovre Hospital, Copenhagen University Hospital, Hvidovre, Denmark
⨯
Søren Bredkjær,

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

Affiliation Department of Growth and Reproduction GR, Rigshospitalet, Copenhagen, Denmark
⨯
Thomas Werge,

Affiliation Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark
⨯
Lars J. Jensen,

Affiliation NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
⨯
Søren Brunak

* E-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
⨯

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

Francisco S. Roque,
Peter B. Jensen,
Henriette Schmock,
Marlene Dalgaard,
Massimo Andreatta,
Thomas Hansen,
Karen Søeby,
Søren Bredkjær,
Anders Juul,
Thomas Werge

Published: August 25, 2011
https://doi.org/10.1371/journal.pcbi.1002141

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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.

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

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

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Media Coverage for this Article

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

RE: Media Coverage for this Article

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