Towards Extraction of Conceptual Structures from Electronic Health Records

  • Authors:
  • Svetla Boytcheva;Galia Angelova

  • Affiliations:
  • State University of Library Studies and Information Technologies, Sofia, Bulgaria 1784;Institute for Parallel Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria 1113

  • Venue:
  • ICCS '09 Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents the general framework and the current results of a project that aims to develop a system for knowledge discovery and extraction from the texts of Electronic Health Records in Bulgarian language. The proposed hybrid approach integrates language technologies and conceptual processing. The system generates conceptual graphs encoding the patient case history, which contains templates for the patient's diseases, symptoms and treatments. We describe simple inference in the generated graphs resource bank. Some experiments and their evaluation are presented in the article.