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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Towards semantic search and inference in electronic medical records: An approach using concept--based information
Bevan Koopman1, Peter Bruza, Laurianne Sitbon
1Australian e-Health Research Centre, CSIRO, Brisbane, Australia ; Science & Engineering Faculty, Queensland University of Technology, Brisbane, Australia.
Background:
This paper presents a novel approach to searching electronic medical records that is based on concept matching rather than keyword matching.
Aim:
The concept-based approach is intended to overcome specific challenges we identified in searching medical records.
Method:
Queries and documents were transformed from their term-based originals into medical concepts as defined by the SNOMED-CT ontology.
Results:
Evaluation on a real-world collection of medical records showed our concept-based approach outperformed a keyword baseline by 25% in Mean Average Precision.
Conclusion:
The concept-based approach provides a framework for further development of inference based search systems for dealing with medical data.
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