EVTIMA: a system for IE from hospital patient records in Bulgarian

Authors:
Svetla Boytcheva;Galia Angelova;Ivelina Nikolova;Elena Paskaleva;Dimitar Tcharaktchiev;Nadya Dimitrova
Affiliations:
State University of Library Studies and Information Technologies, Sofia, Bulgaria;Institute for Parallel Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria;Institute for Parallel Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria;Institute for Parallel Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria;Medical University, Sofia, Bulgaria;National Oncological Hospital, Sofia, Bulgaria
Venue:
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
Year:
2010

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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.