Automatic identification and normalization of dosage forms in drug monographs.
Ontology highlight
ABSTRACT: Background
Each 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.Methods
As 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.Results
Our 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%.Conclusions
We successfully developed an automatic approach for drug dosage form identification, which is critical for building links between different drug-related resources.
SUBMITTER: Li J
PROVIDER: S-EPMC3305679 | biostudies-literature | 2012 Feb
REPOSITORIES: biostudies-literature
Publications
Automatic identification and normalization of dosage forms in drug monographs.
BMC medical informatics and decision making 20120215
<h4>Background</h4>Each 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.<h4>Methods</h4>As 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 ...[more]
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