Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database.
Affiliation
School of Computer Science, University of Manchester, Manchester, UKIssue Date
2016
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Free-text medication prescriptions contain detailed instruction information that is key when preparing drug data for analysis. The objective of this study was to develop a novel model and automated text-mining method to extract detailed structured medication information from free-text prescriptions and explore their variability (e.g. optional dosages) in primary care research databases.Citation
Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database. 2016, 16 (1):18 BMC Med Inform Decis MakJournal
BMC Medical Informatics and Decision MakingDOI
10.1186/s12911-016-0255-xPubMed ID
26860263Type
ArticleLanguage
enISSN
1472-6947ae974a485f413a2113503eed53cd6c53
10.1186/s12911-016-0255-x
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