Towards retrieving relevant information for answering clinical comparison questions

Authors:
Annette Leonhard
Affiliations:
University of Edinburgh, Edinburgh, Scotland
Venue:
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Year:
2009

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Abstract

This paper introduces the task of automatically answering clinical comparison questions using MEDLINE® abstracts. In the beginning, clinical comparison questions and the main challenges in recognising and extracting their components are described. Then, different strategies for retrieving MEDLINE® abstracts are shown. Finally, the results of an initial experiment judging the relevance of MEDLINE® abstracts retrieved by searching for the components of twelve comparison questions will be shown and discussed.