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Design and evaluation of an ontology based information extraction system for radiological reports
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Date
2010-11-01
Author
Soysal, Ergin
Cicekli, Ilyas
Baykal, Nazife
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This paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules and domain ontology. The ontology provides flexibility in the design of extraction rules, and determines the information model for the extracted semantic information. Although our information extraction system mainly concentrates on abdominal radiology reports, the system can be used in another field of medicine by adapting its ontology and extraction rule set. We achieved very high precision and recall results during the evaluation of the developed system with unseen radiology reports.
Subject Keywords
Information extraction
,
Ontology
,
Natural language processing
,
Medical language processing
,
Turkish radiology reports
URI
https://hdl.handle.net/11511/30852
Journal
COMPUTERS IN BIOLOGY AND MEDICINE
DOI
https://doi.org/10.1016/j.compbiomed.2010.10.002
Collections
Graduate School of Informatics, Article
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E. Soysal, I. Cicekli, and N. Baykal, “Design and evaluation of an ontology based information extraction system for radiological reports,”
COMPUTERS IN BIOLOGY AND MEDICINE
, pp. 900–911, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30852.