Automatic analysis of patient history episodes in Bulgarian hospital discharge letters

Authors:
Svetla Boytcheva;Galia Angelova;Ivelina Nikolova
Affiliations:
State University of Library Studies and Information Technologies and IICT-BAS;Bulgarian Academy of Sciences (BAS);Bulgarian Academy of Sciences (BAS)
Venue:
EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
Year:
2012

Citing 3
Cited 1

Maintaining knowledge about temporal intervals

Communications of the ACM
Methodological Review: Temporal reasoning with medical data-A review with emphasis on medical natural language processing

Journal of Biomedical Informatics
ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports

Journal of Biomedical Informatics

Automatic information extraction from patient records in Bulgarian language

Proceedings of the 14th International Conference on Computer Systems and Technologies

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Abstract

This demo presents Information Extraction from discharge letters in Bulgarian language. The Patient history section is automatically split into episodes (clauses between two temporal markers); then drugs, diagnoses and conditions are recognised within the episodes with accuracy higher than 90%. The temporal markers, which refer to absolute or relative moments of time, are identified with precision 87% and recall 68%. The direction of time for the episode starting point: backwards or forward (with respect to certain moment orienting the episode) is recognised with precision 74.4%.