Performance analysis and assessment of a tf-idf based archetype-SNOMED-CT binding algorithm

Sheng Yu, Damon Berry, Jesus Bisbal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Term bindings in archetypes are at a boundary between health information models and health terminology for dual model-based electronic health-care record (EHR) systems. The development of archetypes and the population of archetypes with bound terms is in its infancy. Terminological binding is currently performed "manually" by the teams who create archetypes. This process could be made more efficient, if it was supported by automatic tools. This paper presents a method for evaluating the performance of automatic code search approaches. In order to assess the quality of the automatic search, the authors extracted all the unique bound codes from 1133 archetypes from an archetype repository. These "manually bound "SNOMED-CT codes were compared against the codes suggested by the authors' automatic search and used for assessing the algorithm's performance in terms of accuracy and category matching. The result of this study shows a sensitivity analysis of a set of parameters relevant to the matching process.

Original languageEnglish
Title of host publicationProceedings of the 24th International Symposium on Computer-Based Medical Systems, CBMS 2011
DOIs
Publication statusPublished - 2011
Event24th International Symposium on Computer-Based Medical Systems, CBMS 2011 - Bristol, United Kingdom
Duration: 27 Jun 201130 Jun 2011

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference24th International Symposium on Computer-Based Medical Systems, CBMS 2011
Country/TerritoryUnited Kingdom
CityBristol
Period27/06/1130/06/11

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