The University of Pittsburgh Pharmacokinetic Drug-drug Interaction (PK DDI) Package Insert Corpus

The "PK DDI" corpus is a new corpus of sections from FDA-approved drug  package inserts (PIs) that have been manually annotated for  pharmacokinetic drug-drug interactions by a pharmacist and a drug  information expert. The two annotators reached consensus on 592 PK DDIs,  3,351 active ingredient mentions, 234 drug product mentions, and 201  metabolite mentions present in over 200 PI sections extracted from 64  drug PIs. The corpus is provided to the non-profit research community  under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0  Unported License.

Authors

Richard D. Boyce
Rob Guzman
Henk Harkema

Associated Institutions

University of Pittsburgh

Application Domains
  • Clinical
Other Resource Type
Software Subtype
Programming Languages
Operating Systems
Included Components
Dataset Subtype
  • Human annotated
Data Model Subtype
Online Resource Subtype
Knowledge Base Subtype
Intended User Types
  • NLP researcher or developer
Citations

Boyce R, Gardner G, Harkema H. Using Natural Language Processing to Extract Drug-Drug Interaction Information from Package Inserts. Proceedings of the 2012 Workshop on BioNLP. Montreal, Quebec, Canada. June 8, 2012. http://www.aclweb.org/anthology/W/W12/W12-2426.pdf.

Available Documentation
Licensing Type
Open source
Licensing Notes
The University of Pittsburgh Pharmacokinetic Drug-drug Interaction (PK DDI) Package Insert Corpus by Richard D. Boyce is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Date of Latest Version