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Title:Umls-based analysis of medical terminology coverage for tags in diabetes-related blogs
Author(s):He, Zhe; Park, Min Sook; Chen, Zhiwei
Subject(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.
Issue Date:2016-03-15
Publisher:iSchools
Citation Info:NA
Series/Report:IConference 2016 Proceedings
Genre:Conference Paper / Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/89441
DOI:10.9776/16249
Rights Information:Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2016-03-08


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