Literature DB >> 10764937

Supporting the classification of pathology reports: comparing two information retrieval methods.

L M de Bruijn1, A Hasman, J W Arends.   

Abstract

In this contribution two methods from the domain of information retrieval are compared. The goal of the retrieval is to select from a library of pathology reports those ones that are most similar to a given report. The SNOMED codes that accompany these reports are presented to the pathologist who has to code the given report with the aim to improve the quality of coding. The reports were represented either as a vector of words or as a vector of N-grams. Both 4-, 5- and 6-grams were used. The similarity of the reports was determined by comparing the SNOMED terms that were added to the reports. It could be concluded that the word-based method was consistently better than the N-gram method.

Mesh:

Year:  2000        PMID: 10764937     DOI: 10.1016/s0169-2607(00)00056-0

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  1 in total

1.  Identification of related gene/protein names based on an HMM of name variations.

Authors:  L Yeganova; L Smith; W J Wilbur
Journal:  Comput Biol Chem       Date:  2004-04       Impact factor: 2.877

  1 in total

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