Using Meda-data to Search for Clinical Records: RMIT at TREC 2012 Medical Track

نویسندگان

  • Iman Amini
  • Mark Sanderson
  • Xiaodong Li
  • David Martínez
چکیده

Clinical records contain International Classification of Diseases (ICD) codes summarizing the primary and/or secondary diseases of patients; these codes can be used as evidence to find relevant documents. In this paper we propose a novel approach to locally build a knowledge source from the existing data set to be used for query expansion, exploiting the ICD codes. While this approach does not rely on any external knowledge sources, it proves to be significantly superior to our global expansion and baseline systems.

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تاریخ انتشار 2012