Using electronic patient records to discover disease correlations and stratify patient cohorts.
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ABSTRACT:
SUBMITTER: Roque FS
PROVIDER: S-EPMC3161904 | biostudies-literature | 2011 Aug
REPOSITORIES: biostudies-literature
Publications
Using electronic patient records to discover disease correlations and stratify patient cohorts.
Roque Francisco S FS Jensen Peter B PB Schmock Henriette H Dalgaard Marlene M Andreatta Massimo M Hansen Thomas T Søeby Karen K Bredkjær Søren S Juul Anders A Werge Thomas T Jensen Lars J LJ Brunak Søren S
PLoS computational biology 20110825 8
Electronic patient records remain a rather unexplored, but potentially rich data source for discovering correlations between diseases. We describe a general approach for gathering phenotypic descriptions of patients from medical records in a systematic and non-cohort dependent manner. By extracting phenotype information from the free-text in such records we demonstrate that we can extend the information contained in the structured record data, and use it for producing fine-grained patient strati ...[more]
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| S-EPMC10200166 | biostudies-literature
Project description:electronic Medical Records & Genomics (eMERGE)
| PRJNA158491 | ENA