Using electronic patient records to discover disease correlations and stratify patient cohorts
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...
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Published in | PLoS computational biology Vol. 7; no. 8; p. e1002141 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
01.08.2011
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
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