FCA를 이용한 임상서식지의 분류와 체계화

김명기; 황석형; 김홍기; 강유경; 최희철; 김동순

추천

검색

자료유형: 학술저널

저자정보: 김명기 황석형 김홍기 강유경 최희철 김동순

저널정보: 대한의료정보학회 Healthcare Informatics Research Healthcare Informatics Research 제12권 제1호

발행연도: 2006.1

수록면: 31 - 43 (13page)

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

오류제보하기

Objective: Ontology is becoming a core research field in the realm of medical informatics. The objective of our ongoing research is to explore the potential role of Formal Concept Analysis(FCA) in a context-based ontology building support in a medical domain. The concept hierarchy plays an important role as the backbone of ontology, but its construction is a complex and time-consuming process. We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from clinical documents. Methods: Our approach is based on FCA, a mathematical tool used in data analysis and knowledge engineering. It provides methods to group objects and attributes into concepts, pairs of object-sets(clinical documents) and attribute-sets(fields contained in the clinical documents), such that the binary relation can be presented in a concept lattice. Based on the FCA, we have applied out approach for 8 clinical documents used in a university hospital. As a result of our experiments, we can extract 15 concepts with 7 common fields that can be shared with 8 clinical documents. Results: We show how FCA can be used to classify clinical documents and acquire a concept hierarchy for the medical domain out of the clinical documents with maximal property factorization. Conclusion: The whole of our work is based on the concept lattice of which allows to construct a "well defined" ontological concept hierarchy. As an application of this approach, we presented some results of classification of clinical documents with maximally factorized common fields. We have shown that FCA can be useful method to classify and analyze various medical data by constructing concept hierarchy. From that concept hierarchy, we can acquire well-structured facts and knowledges in medical domain. (Journal of Korean Society of Medical Informatics 12-1,31-43, 2006)

#Ontology #Formal Concept Analysis #Concept Hierarchy #Classification #Clinical Documents

참고문헌 (14)

참고문헌 신청

/ / http://sourceforge.net Carpineto C, Romano G / 2004 / Concept data analysis 1st / UK:Wiley : 21 ~ 23

Cho, HI / 1997 / Review of core elements used in medical records and their definitions for medical informatics standard / Journal of Korea society of Medical Informatics 3 (

Choi, JW / 1997 / Review of core elements used in medical records and definitions for medical informatics standard / Journal of Korea society of Medical Informatics 3 (1) :

Cimiano, P / 2003 / Automaticacquisition of taxonomies from Text-FCA meets NLP. Proceedings of the ECML/PKDD Workshop on Adaptive Text Extraction and Mining / Proceedings of the EC

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!