Paper: Using Natural Language Processing to Extract Drug-Drug Interaction Information from Package Inserts

ACL ID W12-2426
Title Using Natural Language Processing to Extract Drug-Drug Interaction Information from Package Inserts
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2012
Authors

The package insert (aka drug product label) is the only publicly-available source of infor- mation on drug-drug interactions (DDIs) for some drugs, especially newer ones. Thus, an automated method for identifying DDIs in drug package inserts would be a potentially important complement to methods for identi- fying DDIs from other sources such as the scientific literature. To develop such an algo- rithm, we created a corpus of Federal Drug Administration approved drug package insert statements that have been manually annotated for pharmacokinetic DDIs by a pharmacist and a drug information expert. We then evalu- ated three different machine learning algo- rithms for their ability to 1) identify pharmacokinetic DDIs in the package insert corpus and 2) classify pharmacokinetic DDI ...