Integrating phenotypic data from electronic patient records with molecular level systems biology: Abstract of invited lecture

Søren Brunak (Invited author)

    Research output: Contribution to journalConference articleResearchpeer-review

    Abstract

    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 stratification and disease co-occurrence statistics. The approach uses a dictionary based on the International Classification of Disease ontology and is therefore in principle language independent. As a use case we show how records from a Danish psychiatric hospital lead to the identification of disease correlations, which subsequently are mapped to systems biology frameworks.
    Original languageEnglish
    JournalFEBS Journal
    Volume278
    Issue numberSuppl. s1
    Pages (from-to)27
    ISSN1742-464X
    DOIs
    Publication statusPublished - 2011
    EventFEBS Congress : Biochemistry for Tomorrows Medicine - Torino, Italy
    Duration: 1 Jan 2011 → …
    Conference number: 36

    Conference

    ConferenceFEBS Congress : Biochemistry for Tomorrows Medicine
    Number36
    CityTorino, Italy
    Period01/01/2011 → …

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