Title :
Information extraction from radiology reports mingled two languages
Author :
Kwak, Miyoung ; Jung, Sungwon ; Choi, Jinwook
Author_Institution :
Dept. of Biomed. Eng., Seoul Nat. Univ., South Korea
Abstract :
This study presents overall of information extraction (IE) for SNUH (Seoul National University Hospital) radiology reports coexisted Korean and English using Concept Node (CN) definition which is a case frame as extraction rule. The following steps are performed: design conceptual model by terminology exploration, create a CN definition based on syntactic relationship between two major semantic entities analyzed with sentences by a domain expert and implement automatic IE system using CN definition. Main purposes is to investigate whether syntactic and semantic analysis technique using extraction rule (CN) is effective for typical Korean medical text in mixed two different languages.
Keywords :
diagnostic radiography; information retrieval; medical information systems; natural languages; Korean medical text; Seoul National University Hospital; concept node definition; conceptual model; extraction rule; implement automatic IE system; information extraction; radiology; semantic entities; syntactic analysis technique; terminology exploration; Biomedical engineering; Biomedical imaging; Data mining; Educational institutions; Hospitals; Information analysis; Natural languages; Radiology; Terminology; Vocabulary;
Conference_Titel :
Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005. Proceedings of 7th International Workshop on
Print_ISBN :
0-7803-8940-9
DOI :
10.1109/HEALTH.2005.1500443
