Design and evaluation of an ontology based information extraction system for radiological reports
Computers in Biology and Medicine
900 - 911
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/22153
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. © 2010 Elsevier Ltd.
- Research Paper 7144
Showing items related by title, author, creator and subject.
Soysal, E.; Cicekli, I.; Baykal, N. (Elsevier, 2010-11)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 ...
Erozel G.; Cicekli, N.K.; Cicekli I. (2008)The video databases have become popular in various areas due to the recent advances in technology. Video archive systems need user-friendly interfaces to retrieve video frames. In this paper, a user interface based on ...
Tatar, S.; Cicekli I. (2009)Protein name extraction, one of the basic tasks in automatic extraction of information from biological texts, remains challenging. In this paper, we explore the use of two different machine learning techniques and present ...