Abstract
Despite the availability of medical information on the Internet, health consumers still encounter problems to find and interpret this information. The complexity of the medical knowledge and the use of technical terms hinder the communication of such information. In this work we have analyzed and characterized the health consumer terminology in the breast cancer field in order to provide health services more adapted to their language and to their level of knowledge of medical concepts. The work has been done on the basis of a concept-based terminology built from two kinds of corpus of texts: health consumer corpus and health mediator corpus. The resulted concept-based terminology has been analyzed using different quantitative and qualitative methods on several levels: term, concept and relation levels.
The concept-based terminology has been the core of a health consumer query reformulation pilot study. This work proposes the use of spreading activation technique through the terminology to infer new concepts from the ones initially identified in a health consumer question. A description of the spreading activation algorithm and its preliminary evaluation are provided.
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Messai, R., Simonet, M., Bricon-Souf, N., Mousseau, M. (2012). Analyzing Health Consumer Terminology for Query Reformulation Tasks. In: Guillet, F., Ritschard, G., Zighed, D. (eds) Advances in Knowledge Discovery and Management. Studies in Computational Intelligence, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25838-1_11
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DOI: https://doi.org/10.1007/978-3-642-25838-1_11
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