Automatic construction of a semantic model of disease symptoms based on text corpus
Journal Title: Computer Science and Mathematical Modelling - Year 2012, Vol 0, Issue 9
Abstract
The research described in article refers the medical data. Descriptions of diagnostic technologies results and descriptions of diseases form the text corpus. The corpus is the basis for building a semantic model of symptoms. A specific symptom can be written in the natural language in many ways, which is a problem for further processing of such information. There is a need to record symptoms in a uniform format. Such format allows for application of the same methods and mathematical tools to support the process of diagnosis. The paper presents method of generating a semantic model based on text corpus. Construction of the model is a part of the research, which aims to make the fusion of data from different sources (heterogeneous data) into homogeneous form.
Authors and Affiliations
Grażyna Szostek, Marek Jaszuk, Andrzej Walczak
Keywords
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