Paper: Automatic Analysis of Patient History Episodes in Bulgarian Hospital Discharge Letters

ACL ID E12-2016
Title Automatic Analysis of Patient History Episodes in Bulgarian Hospital Discharge Letters
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session System Demonstration
Year 2012
Authors

This demo presents Information Extraction from discharge letters in Bulgarian lan- guage. The Patient history section is au- tomatically split into episodes (clauses be- tween two temporal markers); then drugs, diagnoses and conditions are recognised within the episodes with accuracy higher than 90%. The temporal markers, which re- fer to absolute or relative moments of time, are identified with precision 87% and re- call 68%. The direction of time for the episode starting point: backwards or for- ward (with respect to certain moment ori- enting the episode) is recognised with pre- cision 74.4%.