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Towards an ontology-driven clinical experience sharing ecosystem: Demonstration with liver cases
•A novel OWL ontology to represent liver patient cases is proposed.•A semantic repository of real patient data according to the ontology is created.•The proposal is validated with a real-world liver patient case repository.•A proof of concept for CES search/retrieval using a semantic reasoned is pre...
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Published in: | Expert systems with applications 2018-07, Vol.101, p.176-195 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •A novel OWL ontology to represent liver patient cases is proposed.•A semantic repository of real patient data according to the ontology is created.•The proposal is validated with a real-world liver patient case repository.•A proof of concept for CES search/retrieval using a semantic reasoned is presented.
Past medical cases, hence clinical experience, are invaluable resources in supporting clinical practice, research, and education. Medical professionals need to be able to exchange information about patient cases and explore them from subjective perspectives. This requires a systematic and flexible methodology to case representation for supporting the exchange of processable patient information. We present an ontology based approach to modeling patient cases and use patients with liver disease conditions as an example. To this end a novel ontology, lico, that utilizes well known medical standards is proposed to represent liver patient cases. The utility of the proposed approach is demonstrated with semantic queries and reasoning using data collected from real patients. The preliminary results are promising in regards to the potentials of ontology based medical case representation for building case-based search and retrieval systems, paving the way towards a Clinical Experience Sharing platform for comparative diagnosis, research, and education. |
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ISSN: | 0957-4174 1873-6793 |
DOI: | 10.1016/j.eswa.2018.02.001 |