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
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.