University of Illinois Urbana-Champaign

Umls-based analysis of medical terminology coverage for tags in diabetes-related blogs

He, Zhe; Park, Min Sook; Chen, Zhiwei

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https://hdl.handle.net/2142/89441

Description

Title
Umls-based analysis of medical terminology coverage for tags in diabetes-related blogs
Author(s)
He, Zhe; Park, Min Sook; Chen, Zhiwei
Issue Date
2016-03-15
Keyword(s)
  • Health informatics
  • Controlled vocabulary
  • Terminology disparity
  • Natural language processing
  • Social tag
Abstract
There is a well-known terminology disparity between laypeople and health professionals. Using the Unified Medical Language System (UMLS), this study explores an exploratory study on the terminology usages of laypeople, focusing on diabetes. We explain the analysis pipeline of extracting laypeople’s medical terms and matching them to the existing medical controlled vocabulary system. The preliminary result shows the promise of using the UMLS and Tumblr data for such analysis.
Publisher
iSchools
Series/Report Name or Number
IConference 2016 Proceedings
Type of Resource
text
Language
eng
Permalink
http://hdl.handle.net/2142/89441
DOI
https://doi.org/10.9776/16249
Copyright and License Information
Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

Owning Collections

iConference 2016 Preliminary Results Papers PRIMARY