TY - JOUR
T1 - Context-based ontology building support in clinical domains using formal concept analysis
AU - Jiang, Guoqian
AU - Ogasawara, Katsuhiko
AU - Endoh, Akira
AU - Sakurai, Tsunetaro
PY - 2003/8/1
Y1 - 2003/8/1
N2 - 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.
AB - 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.
KW - Formal concept analysis
KW - Information retrieval
KW - Knowledge acquisition
KW - Knowledge representation
KW - Medical records
KW - Natural language processing
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U2 - 10.1016/S1386-5056(03)00092-3
DO - 10.1016/S1386-5056(03)00092-3
M3 - Article
C2 - 12909160
AN - SCOPUS:0043125856
SN - 1386-5056
VL - 71
SP - 71
EP - 81
JO - International Journal of Medical Informatics
JF - International Journal of Medical Informatics
IS - 1
ER -