Journal of Data and Information Science (Sep 2020)

An Automatic Approach to Extending the Consumer Health Vocabulary

  • Monselise Michal,
  • Greenberg Jane,
  • Liang Ou Stella,
  • Pascua Sonia,
  • Kim Heejun,
  • Kelly Mat,
  • Boone Joan P.,
  • Yang Christopher C.

DOI
https://doi.org/10.2478/jdis-2021-0003
Journal volume & issue
Vol. 6, no. 1
pp. 35 – 49

Abstract

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Given the ubiquitous presence of the internet in our lives, many individuals turn to the web for medical information. A challenge here is that many laypersons (as “consumers”) do not use professional terms found in the medical nomenclature when describing their conditions and searching the internet. The Consumer Health Vocabulary (CHV) ontology, initially developed in 2007, aimed to bridge this gap, although updates have been limited over the last decade. The purpose of this research is to implement a means of automatically creating a hierarchical consumer health vocabulary. This overall purpose is improving consumers’ ability to search for medical conditions and symptoms with an enhanced CHV and improving the search capabilities of our searching and indexing tool HIVE (Helping Interdisciplinary Vocabulary Engineering).

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