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

fYear

2005

fDate

23-25 June 2005

Firstpage

218

Lastpage

223

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005. Proceedings of 7th International Workshop on

Print_ISBN

0-7803-8940-9

Type

conf

DOI

10.1109/HEALTH.2005.1500443

Filename

1500443