Conference paper · Journal article
Integrating phenotypic data from electronic patient records with molecular level systems biology: Abstract of invited lecture
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.
Language: | English |
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Year: | 2011 |
Pages: | 5-69 |
Proceedings: | FEBS Congress : Biochemistry for Tomorrows Medicine |
ISSN: | 14321033 and 1742464x |
Types: | Conference paper and Journal article |
DOI: | 10.1111/j.1742-4658.2011.08136.x |