Context-based ontology building support in clinical domains using formal concept analysis.

Abstract:

OBJECTIVE:Ontology in clinical domains is becoming a core research field in the realm of medical informatics. The objective of this study is to explore the potential role of formal concept analysis (FCA) in a context-based ontology building support in a clinical domain (e.g. cardiovascular medicine here). METHODOLOGY:We developed an ontology building support system that integrated an FCA module with a natural language processing (NLP) module. The user interface of the system was developed as a Protégé-2000 JAVA tab plug-in. A collection of 368 textual discharge summaries and a standard dictionary of Japanese diagnostic terms (MEDIS ver2.0) were used as the main knowledge sources. A preliminary evaluation was taken to show the usefulness of the system. RESULTS:Stability was shown on the MEDIS-based medical concept extraction with high precision. 73+/-14% (mean+/-S.D.) of the compound medical phrases extracted were sufficiently meaningful to form a medical concept from a clinical perspective. Also, 57.7% of attribute implication pairs (i.e. medical concept pairs) extracted were identified as positive from a clinical perspective. CONCLUSION:Under the framework of our ontology building support system using FCA, the clinical experts could reach a mass of both linguistic information and context-based knowledge that was demonstrated as useful to support their ontology building tasks.

journal_name

Int J Med Inform

authors

Jiang G,Ogasawara K,Endoh A,Sakurai T

doi

10.1016/s1386-5056(03)00092-3

subject

Has Abstract

pub_date

2003-08-01 00:00:00

pages

71-81

issue

1

eissn

1386-5056

issn

1872-8243

pii

S1386505603000923

journal_volume

71

pub_type

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