Abstract
In this paper, we present a semantic web based knowledge engineering approach to extend the coverage of medical knowledge-based systems in order to solve complex medical queries that demand the integration of deterministic and plausible knowledge. We leverage plausible reasoning mechanisms, which exploit associations between the underlying domain-specific data, as well as tentative domain knowledge, to extend the coverage of a medical knowledge base. We demonstrate that Semantic Web technologies, due to their efficient solutions for federated data management and built-in DL-based inferencing methods, offer useful opportunities to support plausible reasoning for medical decision support tasks. We evaluated our multi-strategy medical reasoning approach using real-world medical data. Our results illustrate that plausible reasoning improved the knowledge coverage of the original medical knowledge base by 10-12%, and in turn helped to solve complex disease diagnostic queries.
Original language | English |
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Title of host publication | 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 525-528 |
Number of pages | 4 |
ISBN (Electronic) | 9781509024551 |
DOIs | |
Publication status | Published - Apr 18 2016 |
Event | 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 - Las Vegas, United States Duration: Feb 24 2016 → Feb 27 2016 |
Publication series
Name | 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 |
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Conference
Conference | 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 |
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Country/Territory | United States |
City | Las Vegas |
Period | 2/24/16 → 2/27/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
ASJC Scopus Subject Areas
- Health Informatics
- Health Information Management