Abstract
The paper presents a methodology for creating a semantic model of disease symptoms. The source material for the methodology are medical texts describing the symptoms. Semantic descriptions are automatically extracted from text using natural language processing methods and lexical resources. The methods transform text describing symptoms into a set of rules constituting their semantic descriptions. The descriptions consist of a number of concepts and relations between them. Combining all such descriptions forms a model of the disease symptoms.
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Szostek, G., Jaszuk, M. (2011). Automatic Supply of a Medical Knowledge Base Using Linguistic Methods. In: Ryżko, D., Rybiński, H., Gawrysiak, P., Kryszkiewicz, M. (eds) Emerging Intelligent Technologies in Industry. Studies in Computational Intelligence, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22732-5_13
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DOI: https://doi.org/10.1007/978-3-642-22732-5_13
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