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oai:riuma.uma.es:10630/300892026-02-03T10:57:36Zcom_10630_2254col_10630_37953

Towards an ontology-driven clinical experience sharing ecosystem: demonstration with liver cases Roldán-García, María del Mar Uskudarli, Suzan Marvasti, Neda B. Acar, Burak Aldana-Montes, José Francisco Anamnesia Medicina clínica Redes de información 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. 2024-02-08T10:21:47Z 2024-02-08T10:21:47Z 2024-02-08T10:21:47Z 2018 journal article María del Mar Roldán-García, Suzan Uskudarli, Neda B. Marvasti, Burak Acar, José F. Aldana-Montes, Towards an ontology-driven clinical experience sharing ecosystem: Demonstration with liver cases, Expert Systems with Applications, Volume 101, 2018, Pages 176-195, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2018.02.001. https://hdl.handle.net/10630/30089 https://doi.org/10.1016/j.eswa.2018.02.001. spa Expert Systems with Applications;101 open access ELSEVIER