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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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1313184448

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

About this item

Full title

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

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2011-08, Vol.7 (8), p.e1002141-e1002141

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

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 r...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1313184448

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1313184448

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1002141

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