A workbench for temporal event information extraction from patient records

Authors:
Svetla Boytcheva;Galia Angelova
Affiliations:
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences (IICT-BAS), Sofia, Bulgaria,American University in Bulgaria, Blagoevgrad, Bulgaria;Institute of Information and Communication Technologies, Bulgarian Academy of Sciences (IICT-BAS), Sofia, Bulgaria
Venue:
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
Year:
2012

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Abstract

This paper presents a research prototype for temporal event information extraction from hospital discharge letters in Bulgarian. An algorithm for extraction of primitive events automatically sets markers for patients' complaints, drug treatment and diagnoses with precision about 90%. Specific domain knowledge is further used to generate compound events and to identify some relations between event time sequences. Absolute and relative time information enables ordering the generated compound events using semi-intervals and fuzzy logic. Some negated events are analyzed as well to better structure the patient history.