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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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3477777 | PMC |
| http://dx.doi.org/10.4066/AMJ.2012.1362 | DOI Listing |
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