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Authors: Veruska Zamborlini 1 ; Rinke Hoekstra 2 ; Marcos da Silveira 3 ; Cedric Pruski 3 ; Annette ten Teije 4 and Frank van Harmelen 4

Affiliations: 1 VU University Amsterdam and LIST Luxembourg Institute of Science and Technology, Netherlands ; 2 VU University Amsterdam and University of Amsterdam, Netherlands ; 3 LIST Luxembourg Institute of Science and Technology, Luxembourg ; 4 VU University Amsterdam, Netherlands

ISBN: 978-989-758-170-0

Keyword(s): Clinical Guidelines, Semantic Web, Knowledge Representation, Ontologies.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Semantic Interoperability ; Society, e-Business and e-Government ; Symbolic Systems ; Web Information Systems and Technologies

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.

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Paper citation in several formats:
Zamborlini V., Hoekstra R., Silveira M., Pruski C., Teije A. and Harmelen F. (2016). Generalizing the Detection of Internal and External Interactions in Clinical Guidelines.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 105-116. DOI: 10.5220/0005704101050116

@conference{healthinf16,
author={Veruska Zamborlini and Rinke Hoekstra and Marcos da Silveira and Cedric Pruski and Annette ten Teije and Frank van Harmelen},
title={Generalizing the Detection of Internal and External Interactions in Clinical Guidelines},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)},
year={2016},
pages={105-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005704101050116},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)
TI - Generalizing the Detection of Internal and External Interactions in Clinical Guidelines
SN - 978-989-758-170-0
AU - Zamborlini V.
AU - Hoekstra R.
AU - Silveira M.
AU - Pruski C.
AU - Teije A.
AU - Harmelen F.
PY - 2016
SP - 105
EP - 116
DO - 10.5220/0005704101050116

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