Two Alternate Methods for Information Retrieval from Turkish Radiology Reports

Hadimli K., Yoendem M. T.

26th Annual International Symposium on Computer and Information Science, London, Canada, 26 - 28 September 2011, pp.527-532 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1007/978-1-4471-2155-8_67
  • City: London
  • Country: Canada
  • Page Numbers: pp.527-532


Turkish is an highly agglutinative language and this poses problems in information retrieval from Turkish free-texts. In this paper one rule based and one data driven alternate methods for information retrieval from Turkish radiology reports are presented. Both methods do not utilize any medical lexicon or ontology, although inherent medical information within the training reports exist. Performance is measured and evaluated as a retrieval problem.