Literature DB >> 8563418

Categorization by reference: a novel approach to MeSH term assignment.

V Kouramajian1, V Devadhar, J Fowler, S Maram.   

Abstract

Categorization by Reference is a novel text classification technique that examines the existing classifications of the citations found in an as-yet unclassified text to determine what terms should be assigned to that text. The existence of the Medical Subject Headings and MEDLINE make the biomedical domain a prime candidate for application of this technique. We describe our approach and implementation of a prototype, presenting some results of our initial tests. We further discuss refinements that could improve the precision of the technique, and describe its possible use in categorizing portions of the World-Wide Web.

Mesh:

Year:  1995        PMID: 8563418      PMCID: PMC2579219     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  1 in total

1.  Testing of a natural language retrieval system for a full text knowledge base.

Authors:  L M Bernstein; R E Williamson
Journal:  J Am Soc Inf Sci       Date:  1984-07
  1 in total
  4 in total

1.  Optimal training sets for Bayesian prediction of MeSH assignment.

Authors:  Sunghwan Sohn; Won Kim; Donald C Comeau; W John Wilbur
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

2.  A strategy for assigning new concepts in the MEDLINE database.

Authors:  Won Kim; W John Wilbur
Journal:  AMIA Annu Symp Proc       Date:  2005

3.  Feature engineering for MEDLINE citation categorization with MeSH.

Authors:  Antonio Jose Jimeno Yepes; Laura Plaza; Jorge Carrillo-de-Albornoz; James G Mork; Alan R Aronson
Journal:  BMC Bioinformatics       Date:  2015-04-08       Impact factor: 3.169

4.  Beyond opinion classification: Extracting facts, opinions and experiences from health forums.

Authors:  Jorge Carrillo-de-Albornoz; Ahmet Aker; Emina Kurtic; Laura Plaza
Journal:  PLoS One       Date:  2019-01-09       Impact factor: 3.240

  4 in total

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