Abstract
This paper presents a method for formally representing Computer-Interpretable Guidelines to deal with multimorbidity. Although some approaches for merging guidelines exist, improvements are still required for combining several sources of information and coping with possibly conflicting pieces of evidence coming from clinical studies. Our main contribution is twofold: (i) we provide general models and rules for representing guidelines that expresses evidence as causation beliefs; (ii) we introduce a mechanism to exploit external medical knowledge acquired from Linked Open Data (Drugbank, Sider, DIKB) to detect potential interactions between recommendations. We apply this framework to merge three guidelines (Osteoarthritis, Diabetes, and Hypertension) in order to illustrate the capability of this approach for detecting potential conflicts between guidelines and eventually propose alternatives.
Original language | English |
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Title of host publication | HEALTHINF 2016 - 9th International Conference on Health Informatics, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016 |
Publisher | SciTePress |
Pages | 105-116 |
Number of pages | 12 |
ISBN (Electronic) | 978-989-758-170-0 |
DOIs | |
Publication status | Published - 2016 |
Event | 9th International Conference on Health Informatics, HEALTHINF 2016 - Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016 - Rome, Italy Duration: 21 Feb 2016 → 23 Feb 2016 |
Conference
Conference | 9th International Conference on Health Informatics, HEALTHINF 2016 - Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016 |
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Country/Territory | Italy |
City | Rome |
Period | 21/02/16 → 23/02/16 |
Keywords
- Clinical guidelines
- Knowledge representation
- Ontologies
- Semantic web