ArticleBMC medical informatics and decision making2012
Automatic identification and normalization of dosage forms in drug monographs.
Article in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Evaluation of RxNorm for Medication Clinical Decision Support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
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Authors and funding
2 authors.
Funding
Abstract
backgroundEach day, millions of health consumers seek drug-related information on the Web. Despite some efforts in linking related resources, drug information is largely scattered in a wide variety of websites of different quality and credibility.
methodsAs a step toward providing users with integrated access to multiple trustworthy drug resources, we aim to develop a method capable of identifying drug's dosage form information in addition to drug name recognition. We developed rules and patterns for identifying dosage forms from different sections of full-text drug monographs, and subsequently normalized them to standardized RxNorm dosage forms.
resultsOur method represents a significant improvement compared with a baseline lookup approach, achieving overall macro-averaged Precision of 80%, Recall of 98%, and F-Measure of 85%.
conclusionsWe successfully developed an automatic approach for drug dosage form identification, which is critical for building links between different drug-related resources.
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