SNUMedinfo at TREC CDS track 2014: Medical case-based retrieval task
نویسندگان
چکیده
This paper describes the participation of the SNUMedinfo team at the TREC Clinical Decision Support track 2014. This task is about medical casebased retrieval. Case description is used as query text. Per each query, one of three categories (Diagnosis, Test and Treatment) is designated as target information need. Firstly, we used external tagged knowledge-based query expansion method for the relevance ranking. Secondly, machine learning classifier based text categorization method is used for the task-specific ranking. Finally, we combined relevance ranking and task-specific ranking with Borda-fuse method. Our method showed significant performance improvements.
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