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“ Crowdsourcing” as a means to identify SNOMED CT  subsets – an initial approach  Dave Parry    School of Computing and Mathematical sciences Auckland University of Technology Dave.parry@aut.ac.nz
Agenda ,[object Object],[object Object],[object Object],[object Object]
Why is coding difficult ? ,[object Object],[object Object],[object Object],Reliability of SNOMED-CT Coding by Three Physicians using Two Terminology Browsers Michael F. Chiang, John C. Hwang, Alexander C. Yu, Daniel S. Casper, James J. Cimino, and Justin Starren AMIA Annu Symp Proc. 2006; 2006: 131–135.
So what ? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Existing systems ,[object Object],[object Object],J. Patrick, Y. Wang, and P. Budd, "An automated system for conversion of clinical notes into SNOMED clinical terminology," in  Proceedings of the fifth Australasian symposium on ACSW frontiers - Volume 68  Ballarat, Australia: Australian Computer Society, Inc., 2007.
Conceptual basis ,[object Object],[object Object]
Concept Concept B Concept Concept Concept A Concept Concept Concept Concept Concept Concepts related to WHU Concepts Unrelated to WHU Concepts  partially related to WHU Is-a Is-a Is-a Is-a Is-a To root concepts….
1 Membership   value  m 0 0  1  2  3  4  5 Value of  “relatedness” response Not in subset Fully in subset Partially in subset
Women’s health ultrasound ,[object Object],[object Object],[object Object],[object Object]
WHU report ,[object Object]
How do we get the membership values ? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Crowdsourcing ,[object Object],[object Object],[object Object],[object Object]
Examples ,[object Object],[object Object],[object Object]
System description ,[object Object],[object Object],[object Object]
Original text Potential  fragments that relate to SNOMED terms Potential SNOMED  Concepts Expanded SNOMED  Descriptions Selected Concepts Overall scheme
Possible Concepts from fragments Original text
Rating screen
Learning memberships ,[object Object],[object Object],[object Object]
Plan ,[object Object],[object Object],[object Object],[object Object],[object Object]
Discussion ,[object Object],[object Object],[object Object],[object Object]
Acknowledgements ,[object Object],[object Object]

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Crowdsourcing As a Means to Identify SNOMED CT Subsets

  • 1. “ Crowdsourcing” as a means to identify SNOMED CT subsets – an initial approach Dave Parry School of Computing and Mathematical sciences Auckland University of Technology Dave.parry@aut.ac.nz
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  • 7. Concept Concept B Concept Concept Concept A Concept Concept Concept Concept Concept Concepts related to WHU Concepts Unrelated to WHU Concepts partially related to WHU Is-a Is-a Is-a Is-a Is-a To root concepts….
  • 8. 1 Membership value m 0 0 1 2 3 4 5 Value of “relatedness” response Not in subset Fully in subset Partially in subset
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  • 15. Original text Potential fragments that relate to SNOMED terms Potential SNOMED Concepts Expanded SNOMED Descriptions Selected Concepts Overall scheme
  • 16. Possible Concepts from fragments Original text
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