Résumé
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.
Langue d'origine | English |
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Titre de la publication principale | 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 |
Maison d'édition | Institute of Electrical and Electronics Engineers Inc. |
Pages | 525-528 |
Nombre de pages | 4 |
ISBN (électronique) | 9781509024551 |
DOI | |
Statut de publication | Published - avr. 18 2016 |
Événement | 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 - Las Vegas, United States Durée: févr. 24 2016 → févr. 27 2016 |
Séries de publication
Prénom | 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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Pays/Territoire | United States |
Ville | Las Vegas |
Période | 2/24/16 → 2/27/16 |
Note bibliographique
Publisher Copyright:© 2016 IEEE.
ASJC Scopus Subject Areas
- Health Informatics
- Health Information Management