Abstract
In this article we present a text analysis system designed to extract key information from clinical text in Bulgarian language. Using shallow analysis within an Information Extraction (IE) approach, the system builds structured descriptions of patient status, disease duration, complications and treatments. We discuss some particularities of the medical language of Bulgarian patient records, the architecture and functionality of our current prototype, and evaluation results regarding the IE tasks we tackle at present. The paper also sketches the original aspects of our IE solutions.
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Boytcheva, S., Angelova, G., Nikolova, I., Paskaleva, E., Tcharaktchiev, D., Dimitrova, N. (2010). EVTIMA: A System for IE from Hospital Patient Records in Bulgarian. In: Dicheva, D., Dochev, D. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2010. Lecture Notes in Computer Science(), vol 6304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15431-7_24
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DOI: https://doi.org/10.1007/978-3-642-15431-7_24
Publisher Name: Springer, Berlin, Heidelberg
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