Towards an ontology-driven clinical experience sharing ecosystem: Demonstration with liver cases
Expert Systems with Applications, cilt.101, ss.176-195, 2018 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 101
- Basım Tarihi: 2018
- Doi Numarası: 10.1016/j.eswa.2018.02.001
- Dergi Adı: Expert Systems with Applications
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.176-195
- Anahtar Kelimeler: Biomedical resources and systems, Knowledge representation, Medical case representation, Ontology driven application
- Boğaziçi Üniversitesi Adresli: Evet
Özet
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.