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Leveraging output term co-occurrence frequencies and latent associations in predicting medical subject headings

  • Published:2014-11 Issue: Volume:94 Page:189-201
  • ISSN:0169-023X
  • Container-title:Data & Knowledge Engineering
  • language:en
  • Short-container-title:Data & Knowledge Engineering

Author:

Kavuluru Ramakanth,Lu Yuan

Funder

National Center for Research Resources

National Center for Advancing Translational Sciences, US National Institutes of Health

Publisher

Elsevier BV

Subject

Information Systems and Management

Reference26 articles.

1. Recommending mesh terms for annotating biomedical articles;Huang;J. Am. Med. Inform. Assoc.,2011

2. The NLM indexing initiative;Aronson,2000

3. Semi-automatic indexing of full text biomedical articles;Gay,2005

4. Unsupervised medical subject heading assignment using output label co-occurrence statistics and semantic predications;Kavuluru,2013

5. Learning to rank for information retrieval;Liu;Found. Trends Inf. Retr.,2009

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