Abstract
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.
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Acknowledgments
This study is supported by Turkish Scientific and Technological Research Council (TÜB?TAK) project 3080179.
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Hadimli, K., Yöndem, M.T. (2011). Two Alternate Methods for Information Retrieval from Turkish Radiology Reports. In: Gelenbe, E., Lent, R., Sakellari, G. (eds) Computer and Information Sciences II. Springer, London. https://doi.org/10.1007/978-1-4471-2155-8_67
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DOI: https://doi.org/10.1007/978-1-4471-2155-8_67
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