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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10119/12232
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| Title: | An ontological modeling approach for abnormal states and its application in the medical domain |
| Authors: | Yamagata, Yuki
Kozaki, Kouji
Imai, Takeshi
Ohe, Kazuhiko
Mizoguchi, Riichiro |
| Keywords: | Ontology
Abnormal state
Disease
Property
Attribute
Interoperability |
| Issue Date: | 2014-05-21 |
| Publisher: | BioMed Central Ltd. |
| Magazine name: | Journal of Biomedical Semantics |
| Volume: | 5 |
| Start page: | 23 |
| DOI: | 10.1186/2041-1480-5-23 |
| Abstract: | Background: Recently, exchanging data and information has become a significant challenge in medicine. Such data include abnormal states. Establishing a unified representation framework of abnormal states can be a difficult task because of the diverse and heterogeneous nature of these states. Furthermore, in the definition of diseases found in several textbooks or dictionaries, abnormal states are not directly associated with the corresponding quantitative values of clinical test data, making the processing of such data by computers difficult. Results: We focused on abnormal states in the definition of diseases and proposed a unified form to describe an abnormal state as a “property,” which can be decomposed into an “attribute” and a “value” in a qualitative representation. We have developed a three-layer ontological model of abnormal states from the generic to disease-specific level. By developing an is-a hierarchy and combining causal chains of diseases, 21,000 abnormal states from 6000 diseases have been captured as generic causal relations and commonalities have been found among diseases across 13 medical departments. Conclusions: Our results showed that our representation framework promotes interoperability and flexibility of the quantitative raw data, qualitative information, and generic/conceptual knowledge of abnormal states. In addition, the results showed that our ontological model have found commonalities in abnormal states among diseases across 13 medical departments. |
| Rights: | Yuki Yamagata, Kouji Kozaki, Takeshi Imai, Kazuhiko Ohe, Riichiro Mizoguchi, Journal of Biomedical Semantics, 2014, 5:23. © 2014 Yamagata et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| URI: | http://hdl.handle.net/10119/12232 |
| Material Type: | publisher |
| Appears in Collections: | z14-10-1. 雑誌掲載論文 (Journal Articles)
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