2003年8月
Context-based ontology building support in clinical domains using format concept analysis
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
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- 巻
- 71
- 号
- 1
- 開始ページ
- 71
- 終了ページ
- 81
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1016/S1386-5056(03)00092-3
- 出版者・発行元
- ELSEVIER SCI IRELAND LTD
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 format 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 Protege-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. (C) 2003 Elsevier Ireland Ltd. All rights reserved.
- リンク情報
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- DOI
- https://doi.org/10.1016/S1386-5056(03)00092-3
- CiNii Articles
- http://ci.nii.ac.jp/naid/80016119101
- PubMed
- https://www.ncbi.nlm.nih.gov/pubmed/12909160
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000185040100009&DestApp=WOS_CPL
- ID情報
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- DOI : 10.1016/S1386-5056(03)00092-3
- ISSN : 1386-5056
- CiNii Articles ID : 80016119101
- PubMed ID : 12909160
- Web of Science ID : WOS:000185040100009