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FCA를 이용한 임상서식지의 분류와 체계화 : Classification and Conceptualization of Clinical Documents using Formal Concept Analysis

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dc.contributor.author김명기-
dc.contributor.author황석형-
dc.contributor.author김홍기-
dc.contributor.author강유경-
dc.contributor.author최희철-
dc.contributor.author김동순-
dc.date.accessioned2011-10-19-
dc.date.available2011-10-19-
dc.date.issued2005-03-
dc.identifier.citationJournal of Korea Society Medical Informatics 2005;12(1):31-43en
dc.identifier.issn1225-8903-
dc.identifier.urihttps://hdl.handle.net/10371/74304-
dc.description.abstractObjective: 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.en
dc.description.sponsorship본 논문은 보건복지부 보건의료기술진흥사업의 지원(과제고유번호: A050909)에 의하여 연구되었음.en
dc.language.isokoen
dc.publisher대한의료정보학회en
dc.subjectOntologyen
dc.subjectFormal Concept Analysisen
dc.subjectConcept Hierarchyen
dc.subjectClassificationen
dc.subjectClinical Documentsen
dc.titleFCA를 이용한 임상서식지의 분류와 체계화en
dc.title.alternativeClassification and Conceptualization of Clinical Documents using Formal Concept Analysisen
dc.typeArticleen
dc.contributor.AlternativeAuthorKim, Myeng-Ki-
dc.contributor.AlternativeAuthorHwang, Suk-Hyung-
dc.contributor.AlternativeAuthorKim, Hong-Gee-
dc.contributor.AlternativeAuthorKang, Yu-Kyung-
dc.contributor.AlternativeAuthorChoi, Hee-Chul-
dc.contributor.AlternativeAuthorKim, Dong-Soon-
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