eagle-i Oregon Health & Science UniversityOregon Health & Science University
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Classification algorithm

eagle-i ID


Resource Type

  1. Algorithmic software component


  1. Resource Description
    "The classification algorithm was developed to identify articles that are likely to be included in a systematic review update, along with an annotation scheme designed to identify the most important publications in a topic area... The algorithm looks at each article meeting the original review search criteria, and notifies the team about articles that it predicts as likely to be included in an update. For the classification task a support vector machine (SVM) based classifier was applied, using features derived from the title, abstract, and MEDLINE MeSH terms associated with each article. The SVMLight (http://svmlight.joachims.org/) implementation of SVM was used."
  2. Used by
    Aaron Cohen Laboratory
  3. Software purpose
    Classification objective
  4. Related Publication or Documentation
    Studying the potential impact of automated document classification on scheduling a systematic review update
  5. Algorithm used
    SVM-Light algorithm
  6. Coded in
Provenance Metadata About This Resource Record
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016