We discuss our practical experience of automating the process of migrating a clinical database with a weak underlying information model towards a high level representation of a patient medical history information in the Web Ontology Language (OWL). The purpose of this migration is to enable sophisticated clinical decision support functionalities based on semantic-web technologies, i.e. reasoning on a clinical ontology. We discuss the research and practical motivation behind this process, including improved interoperability and additional classification functionalities. We propose a methodology to optimise the efficiency of this process and provide practical implementation examples. © Springer-Verlag 2009.
CITATION STYLE
Bouamrane, M. M., Rector, A., & Hurrell, M. (2009). Semi-automatic generation of a patient preoperative knowledge-base from a legacy clinical database. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5871 LNCS, pp. 1224–1237). https://doi.org/10.1007/978-3-642-05151-7_34
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