Automatic Classification and Visualization of UMLS Source Vocabularies through Semantic Group Profiles

Thai Le, Bastien Rance, Olivier Bodenreider,(2012) “Automatic Classification and Visualization of UMLS Source Vocabularies through Semantic Group Profiles”, Submitted to the AMIA Annual Symposium 2012.  draft material

Objective

  • Explore automatic methods for the classification
  • Visualization of UMLS source vocabularies based on their content

Methods

  • Selecting UMLS source vocabularies for analysis
  • Creating vectors of semantic groups for the UMLS source vocabularies
  • Assessing similarity among UMLS source vocabularies through their semantic group profiles
  • Establishing the usage-based classification of the UMLS source vocabularies
  • Comparing the usage-based and content-based classifications
  • Visualizing UMLS source vocabularies through their semantic group profiles

Results

  • Similarity among UMLS source vocabularies through their semantic group profiles.
  • Visualizing UMLS source vocabularies through their semantic group profiles
  • Comparing the usage-based and content-based classifications

Visualization

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